Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "nonlinear control" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-48 z 48
    Tytuł:
    Designing a ship course controller by applying the adaptive backstepping method
    Autorzy:
    Witkowska, A.
    Śmierzchalski, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/331255.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    autopilot
    sterowanie adaptacyjne
    sterowanie nieliniowe
    algorytm genetyczny
    adaptive control
    nonlinear control
    backstepping
    genetic algorithms
    Opis:
    The article discusses the problem of designing a proper and efficient adaptive course-keeping control system for a seagoing ship based on the adaptive backstepping method. The proposed controller in the design stage takes into account the dynamic properties of the steering gear and the full nonlinear static maneuvering characteristic. The adjustable parameters of the achieved nonlinear control structure were tuned up by using the genetic algorithm in order to optimize the system performance. A realistic full-scale simulation model of the B-481 type vessel including wave and wind effects was applied to simulate the control algorithm by using time domain analysis.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2012, 22, 4; 985-997
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modeling and Control of Induction Motors
    Autorzy:
    Delaleau, E.
    Louis, J. P.
    Ortega, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/908324.pdf
    Data publikacji:
    2001
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    silnik indukcyjny
    sterowanie
    induction motors
    field oriented control
    passivity based control
    flatness based control
    nonlinear control
    Opis:
    This paper is devoted to the modeling and control of the induction motor. The well-established field oriented control is recalled and two recent control strategies are exposed, namely the passivity-based control and the flatness-based control.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2001, 11, 1; 105-129
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sub-Optimal Nonlinear Predictive and Adaptive Control Based on the Parametric Volterra Model
    Autorzy:
    Haber, R.
    Bars, R.
    Lengyel, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/908307.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie predykcyjne
    sterowanie nieliniowe
    sterowanie optymalne
    układ nieliniowy
    adaptacyjny układ sterowania
    predictive control
    nonlinear control
    optimal control
    nonlinear systems
    adaptive control
    Opis:
    Predictive control algorithms have been worked out mainly to control linear plants. There is a great demand to apply different control ideas to nonlinear systems. Using predictive control algorithms for nonlinear systems is a promising technique. Extended horizon one-step-ahead and long-range optimal predictive control algorithms are given here for the parametric Volterra model (which includes also the generalized Hammerstein model). A quadratic cost function is minimized which considers the quadratic deviations of the reference signal and the output signal at a future point (or points) beyond the dead time and also penalizes large control signal increments. For prediction of the output signal, a predictive model is applied which uses information about the input and output signals up to the current time. A predictive transformation of the nonlinear dynamic model is given. The incremental model is advantageous since the cost function contains the control increment and not the control signal itself. An incremental transformation of the predictive forms is also described. Sub-optimal solutions to the optimal control algorithms are discussed with different assumptions for the control signal during the control horizon. The effect of the different strategies and the effect of the tuning parameters is investigated through simulation examples.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 1; 161-173
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear controller design of a ship autopilot
    Autorzy:
    Tomera, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/907758.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie ślizgowe
    sterowanie nieliniowe
    eliminacja zakłóceń
    sterowanie statkiem
    sliding-mode control
    nonlinear control
    disturbance rejection
    ship control
    Opis:
    The main goal here is to design a proper and efficient controller for a ship autopilot based on the sliding mode control method. A hydrodynamic numerical model of CyberShip II including wave effects is applied to simulate the ship autopilot system by using time domain analysis. To compare the results similar research was conducted with the PD controller, which was adapted to the autopilot system. The differences in simulation results between two controllers are analyzed by a cost function composed of a heading angle error and rudder deflection either in calm water or in waves. Simulation results show the effectiveness of the method in the presence of nonlinearities and disturbances, and high performance of the proposed controller.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2010, 20, 2; 271-280
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A numerically efficient fuzzy MPC algorithm with fast generation of the control signal
    Autorzy:
    Marusak, Piotr M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1838187.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    model predictive control
    fuzzy system
    fuzzy control
    nonlinear control
    sterowanie predykcyjne
    system rozmyty
    sterowanie rozmyte
    sterowanie nieliniowe
    Opis:
    Model predictive control (MPC) algorithms are widely used in practical applications. They are usually formulated as optimization problems. If a model used for prediction is linear (or linearized on-line), then the optimization problem is a standard, i.e., quadratic, one. Otherwise, it is a nonlinear, in general, nonconvex optimization problem. In the latter case, numerical problems may occur during solving this problem, and the time needed to calculate control signals cannot be determined. Therefore, approaches based on linear or linearized models are preferred in practical applications. A novel, fuzzy, numerically efficient MPC algorithm is proposed in the paper. It can offer better performance than the algorithms based on linear models, and very close to that of the algorithms based on nonlinear optimization. Its main advantage is the short time needed to calculate the control value at each sampling instant compared with optimization-based numerical algorithms; it is a combination of analytical and numerical versions of MPC algorithms. The efficiency of the proposed approach is demonstrated using control systems of two nonlinear control plants: the first one is a chemical CSTR reactor with a van de Vusse reaction, and the second one is a pH reactor.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2021, 31, 1; 59-71
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Data probes, vertical trajectories and classification: A tentative study
    Autorzy:
    Pearson, D. W.
    Powiązania:
    https://bibliotekanauki.pl/articles/911252.pdf
    Data publikacji:
    2007
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    klasyfikacja
    zerowanie wyjścia
    sterowanie nieliniowe
    geometria różniczkowa
    classification
    output zeroing
    nonlinear control
    differential geometry
    Opis:
    In this paper we introduce a method of classification based on data probes. Data points are considered as point masses in space and a probe is simply a particle that is launched into the space. As the probe passes by data clusters, its trajectory will be influenced by the point masses. We use this information to help us to find vertical trajectories. These are trajectories in the input space that are mapped onto the same value in the output space and correspond to the data classes.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2007, 17, 1; 107-112
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Suboptimal Nonlinear Predictive Controllers
    Autorzy:
    Declercq, F.
    De Keyser, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/908312.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie predykcyjne
    sterowanie nieliniowe
    programowanie sekwencyjne
    równanie diofantyczne
    predictive control
    nonlinear control
    sequential quadratic programming
    diophantine equations
    Opis:
    Predictive control based on linear models has become a mature technology in the last decade. Many successful real-time applications can be found in almost every sector of industry. Nonlinear predictive control can further increase the performance of this easy-to-understand control strategy. One of the main problems of implementing nonlinear predictive control is the computational aspect, which is of most importance in real-life applications. In this paper, suboptimal nonlinear predictive control strategies are proposed and compared. The nonlinear predictors are built based on neural identification methods or by white modelling. The use of diophantine equations, which is a common technique to calculate the optimal contribution of the noise model, is avoided by using a more natural method. The comparison between the control algorithms is made based on a simulated discrete multivariable nonlinear system and a continuous stirred tank reactor.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 1; 129-148
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A backstepping approach to ship course control
    Autorzy:
    Witkowska, A.
    Tomera, M.
    Śmierzchalski, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/911245.pdf
    Data publikacji:
    2007
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie nieliniowe
    algorytm genetyczny
    sterowanie statkiem
    funkcja Lapunowa
    backstepping
    nonlinear control
    genetic algorithms
    ship control
    Lyapunov function
    Opis:
    As an object of course control, the ship is characterised by a nonlinear function describing static manoeuvring characteristics that reflect the steady-state relation between the rudder deflection and the rate of turn of the hull. One of the methods which can be used for designing a nonlinear ship course controller is the backstepping method. It is used here for designing two configurations of nonlinear controllers, which are then applied to ship course control. The parameters of the obtained nonlinear control structures are tuned to optimise the operation of the control system. The optimisation is performed using genetic algorithms. The quality of operation of the designed control algorithms is checked in simulation tests performed on the mathematical model of a tanker. In order to obtain reference results to be used for comparison with those recorded for nonlinear controllers designed using the backstepping method, a control system with the PD controller is examined as well.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2007, 17, 1; 73-85
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fundamental limitations of the decay of generalized energy in controlled (discrete-time) nonlinear systems subject to state and input constraints
    Autorzy:
    Selek, István
    Ikonen, Enso
    Powiązania:
    https://bibliotekanauki.pl/articles/330074.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    decay rate maximization
    Lyapunov function
    nonlinear control system
    rozkład wykładniczy
    funkcja Lapunowa
    układ sterowania nieliniowy
    Opis:
    This paper is devoted to the analysis of fundamental limitations regarding closed-loop control performance of discrete-time nonlinear systems subject to hard constraints (which are nonlinear in state and manipulated input variables). The control performance for the problem of interest is quantified by the decline (decay) of the generalized energy of the controlled system. The paper develops (upper and lower) barriers bounding the decay of the system’s generalized energy, which can be achieved over a set of asymptotically stabilizing feedback laws. The corresponding problem is treated without the loss of generality, resulting in a theoretical framework that provides a solid basis for practical implementations. To enhance understanding, the main results are illustrated in a simple example.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2019, 29, 4; 629-639
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An adaptive output feedback motion tracking controller for robot manipulators: Uniform global asymptotic stability and experimentation
    Autorzy:
    Yarza, A.
    Santibanez, V.
    Moreno-Valenzuela, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/330314.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    adaptive control
    robot control
    nonlinear control
    output feedback
    Lyapunov UGAS stability
    sterowanie adaptacyjne
    sterowanie robotem
    sterowanie nieliniowe
    sprzężenie zwrotne
    stabilność Lyapunova
    Opis:
    This paper deals with two important practical problems in motion control of robot manipulators: the measurement of joint velocities, which often results in noisy signals, and the uncertainty of parameters of the dynamic model. Adaptive output feedback controllers have been proposed in the literature in order to deal with these problems. In this paper, we prove for the first time that Uniform Global Asymptotic Stability (UGAS) can be obtained from an adaptive output feedback tracking controller, if the reference trajectory is selected in such a way that the regression matrix is persistently exciting. The new scheme has been experimentally implemented with the aim of confirming the theoretical results.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2013, 23, 3; 599-611
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Supervisory predictive control and on-line set-point optimization
    Autorzy:
    Tatjewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/929583.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie predykcyjne
    sterowanie nieliniowe
    linearyzacja
    model niepewności
    sterowność wymuszona
    optymalizacja
    predictive control
    nonlinear control
    linearisation
    model uncertainty
    constrained control
    set-point optimization
    Opis:
    The subject of this paper is to discuss selected effective known and novel structures for advanced process control and optimization. The role and techniques of model-based predictive control (MPC) in a supervisory (advanced) control layer are first shortly discussed. The emphasis is put on algorithm efficiency for nonlinear processes and on treating uncertainty in process models, with two solutions presented: the structure of nonlinear prediction and successive linearizations for nonlinear control, and a novel algorithm based on fast model selection to cope with process uncertainty. Issues of cooperation between MPC algorithms and on-line steady-state set-point optimization are next discussed, including integrated approaches. Finally, a recently developed two-purpose supervisory predictive set-point optimizer is discussed, designed to perform simultaneously two goals: economic optimization and constraints handling for the underlying unconstrained direct controllers.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2010, 20, 3; 483-495
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Finite-Dimensional Control of Nonlinear Parabolic Pde Systems With Time-Dependent Spatial Domains Using Empirical Eigenfunctions
    Autorzy:
    Armaou, A.
    Christofides, P. D.
    Powiązania:
    https://bibliotekanauki.pl/articles/908332.pdf
    Data publikacji:
    2001
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie nieliniowe
    sterowanie skończenie wymiarowe
    Karhunen-Loeve expansion
    Galerkin's method
    nonlinear control
    diffusion-reaction processes with moving boundaries
    Opis:
    This article presents a methodology for the synthesis of finite-dimensional nonlinear output feedback controllers for nonlinear parabolic partial differential equation (PDE) systems with time-dependent spatial domains. Initially, the nonlinear parabolic PDE system is expressed with respect to an appropriate time-invariant spatial coordinate, and a representative (with respect to different initial conditions and input perturbations) ensemble of solutions of the resulting time-varying PDE system is constructed by computing and solving a high-order discretization of the PDE. Then, the Karhunen-Loeve expansion is directly applied to the ensemble of solutions to derive a small set of empirical eigenfunctions (dominant spatial patterns) that capture almost all the energy of the ensemble of solutions. The empirical eigenfunctions are subsequently used as basis functions within a Galerkin model reduction framework to derive low-order ordinary differential equation (ODE) systems that accurately describe the dominant dynamics of the PDE system. The ODE systems are subsequently used for the synthesis of nonlinear output feedback controllers using geometric control methods. The proposed control method is used to stabilize an unstable steady-state of a diffusion-reaction process with nonlinearities, spatially-varying coefficients and time-dependent spatial domain, and is shown to lead to the construction of accurate low-order models and the synthesis of low-order controllers. The performance of the low-order models and controllers is successfully tested through computer simulations.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2001, 11, 2; 287-317
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A novel method for the design of switching surfaces for discretized MIMO nonlinear systems
    Autorzy:
    Luis-Delgado, J. D.
    Al-Hadithi, B. M.
    Jiménez, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/331143.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    discrete sliding mode
    variable structure control
    nonlinear control
    optimal control
    MIMO system
    sterowanie dyskretne
    sterowanie ślizgowe
    sterowanie o zmiennej strukturze
    sterowanie nieliniowe
    sterowanie optymalne
    system MIMO
    Opis:
    Designing variable structure control with sliding mode (VSC-SM) control schemes needs a switching function or a sliding surface which guarantees the global stability of the closed-loop system. Despite the fact that a wide range of design approaches has been proposed for solving this mathematical problem, the number of proposed methodologies for nonlinear systems is not very extensive, especially for discrete time nonlinear MIMO systems, and most of them require some coordinate system transformation. Therefore, it is not an easy task to find a design scheme that can be applied to discrete time nonlinear MIMO systems. The proposed methodology introduces a mathematical tool: a switching surface equation for a class of MIMO nonlinear systems through an explicit equation without any coordinate transformation. This equation makes use of an implicit linearizing process via the Taylor expansion that allows the use of linear procedures for the design of switching surfaces and the forward Euler method to obtain a discrete time dynamics representation. An illustrative example is included to show the advantages of the proposed design methodology.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2017, 27, 1; 5-17
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear control for a diesel engine: A CLF-based approach
    Autorzy:
    Kuzmych, O.
    Aitouche, A.
    El-Hajjaji, A.
    Bosche, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/331262.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    turbocharged diesel engine
    control Lyapunov function
    nonlinear control design
    stability analysis
    diesel virtual test bench
    silnik wysokoprężny
    turbodoładowanie
    funkcja Lapunowa
    sterowanie nieliniowe
    analiza stabilności
    stanowisko badawcze
    Opis:
    In this paper, we propose a control Lyapunov function based on a nonlinear controller for a turbocharged diesel engine. A model-based approach is used which predicts the experimentally observed engine performance for a biodiesel. The basic idea is to develop an inverse optimal control and to employ a Lyapunov function in order to achieve good performances. The obtained controller gain guarantees the global convergence of the system and regulates the flows for the variable geometry turbocharger as well as exhaust gas recirculation systems in order to minimize the NOx emission and the smoke of a biodiesel engine. Simulation of the control performances based on professional software and experimental results show the effectiveness of this approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2014, 24, 4; 821-835
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive control scheme based on the least squares support vector machine network
    Autorzy:
    Mahmoud, T. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/930155.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    modelowanie systemu
    system nieliniowy
    system sterowania
    sieć neuronowa
    maszyna wektorów wspierających
    support vector machine (SVM)
    neural network
    nonlinear system modeling
    nonlinear system control
    pH control
    Opis:
    Recently, a new type of neural networks called Least Squares Support Vector Machines (LS-SVMs) has been receiving increasing attention in nonlinear system identification and control due to its generalization performance. This paper develops a stable adaptive control scheme using the LS-SVM network. The developed control scheme includes two parts: the identification part that uses a modified structure of LS-SVM neural networks called the multi-resolution wavelet least squares support vector machine network (MRWLS-SVM) as a predictor model, and the controller part that is developed to track a reference trajectory. By means of the Lyapunov stability criterion, stability analysis for the tracking errors is performed. Finally, simulation studies are performed to demonstrate the capability of the developed approach in controlling a pH process.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2011, 21, 4; 685-696
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust Control of Nonlinear Time-Delay Systems
    Autorzy:
    Antoniades, C.
    Christofides, P. D.
    Powiązania:
    https://bibliotekanauki.pl/articles/908267.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    model niepewności
    sterowanie solidne nieliniowe
    opóźnienie czasowe
    model uncertainty
    time delays
    nonlinear robust control
    fluidized catalytic cracker
    Opis:
    This paper focuses on single-input single-output nonlinear differential difference equation (DDE) systems with uncertain variables. For such systems, a general methodology is developed for the synthesis of robust nonlinear state feedback controllers that guarantee boundedness of the states and ensure that the ultimate discrepancy between the output and the external reference input in the closed-loop system can be made arbitrarily small by an appropriate choice of controller parameters. The controllers are synthesized by using a novel combination of geometric and Lyapunov-based techniques and enforce the above properties in the closed-loop system independently of the size of the state delay. The proposed control method is successfully applied to a fluidized catalytic cracking unit with a time-varying uncertain variable and is shown to outperform a proportional integral (PI) controller, a nonlinear controller that does not account for the uncertainty, and anonlinear controller that does not account for the state delays.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 4; 811-837
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear model predictive control for processes with complex dynamics: A parameterisation approach using Laguerre functions
    Autorzy:
    Ławryńczuk, Maciej
    Powiązania:
    https://bibliotekanauki.pl/articles/329999.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    process control
    nonlinear model predictive control
    Laguerre functions
    linearisation
    sterowanie procesami
    model nieliniowy
    sterowanie predykcyjne
    funkcje Laguerre’a
    Opis:
    Classical model predictive control (MPC) algorithms need very long horizons when the controlled process has complex dynamics. In particular, the control horizon, which determines the number of decision variables optimised on-line at each sampling instant, is crucial since it significantly affects computational complexity. This work discusses a nonlinear MPC algorithm with on-line trajectory linearisation, which makes it possible to formulate a quadratic optimisation problem, as well as parameterisation using Laguerre functions, which reduces the number of decision variables. Simulation results of classical (not parameterised) MPC algorithms and some strategies with parameterisation are thoroughly compared. It is shown that for a benchmark system the MPC algorithm with on-line linearisation and parameterisation gives very good quality of control, comparable with that possible in classical MPC with long horizons and nonlinear optimisation.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2020, 30, 1; 35-46
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design and Stability of Fuzzy Logic Multi-Regional Output Controllers
    Autorzy:
    Domański, P.
    Brdyś, M. A.
    Tatjewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/908274.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie nieliniowe
    sterowanie wewnętrzne
    zbiór rozmyty
    model Takagi-Sugeno
    nonlinear output control
    fuzzy logic
    Takagi-Sugeno models
    stability conditions
    Opis:
    Design and stability analysis of fuzzy multi-regional digital controllers is considered in the paper. The controllers are based on a notion of NARMAX systems, very similar to the Takagi-Sugeno fuzzy model. The nonlinear system is approximated by a number of linear subsystems. Linear controllers are designed for all subsystems. It can be made in a classical way due to the subsystems linearity. The controllers are blended into one controller by employing fuzzy logic, the result being the fuzzy multi-regional controller (FuMR). The stability analysis of nonlinear systems with FuMR controllers composed of dynamic output feedback local linear controllers is provided. Examples illustrate the design procedure and the meaning of the stability criterion.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 4; 883-897
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Automatic Control of Mechatronic Systems
    Autorzy:
    Schlacher, K.
    Kugi, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/908321.pdf
    Data publikacji:
    2001
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    mechatronika
    geometria różniczkowa
    sterowanie
    mechatronic systems
    differential geometry
    nonlinear H_{infty}-control
    passivity
    input-output linearization
    Opis:
    This contribution deals with different concepts of nonlinear control for mechatronic systems. Since most physical systems are nonlinear in nature, it is quite obvious that an improvement in the performance of the closed loop can often be achieved only by means of control techniques that take the essential nonlinearities into consideration. Nevertheless, it can be observed that industry often hesitates to implement these nonlinear controllers, despite all advantages existing from the theoretical point of view. On the basis of three different applications, a PWM-controlled dc-to-dc converter, namely the Cuk-converter, the problem of hydraulic gap control in steel rolling, and the design of smart structures with piezolelectric sensor and actuator layers, we will demonstrate how one can overcome these problems by exploiting the physical structure of the mathematical models of the considered plants.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2001, 11, 1; 131-164
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural Network-Based Narx Models in Non-Linear Adaptive Control
    Autorzy:
    Dzieliński, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/907986.pdf
    Data publikacji:
    2002
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    automatyka
    neural networks
    adaptive control
    nonlinear systems
    Opis:
    The applicability of approximate NARX models of non-linear dynamic systems is discussed. The models are obtained by a new version of Fourier analysis-based neural network also described in the paper. This constitutes a reformulation of a known method in a recursive manner, i.e. adapted to account for incoming data on-line. The method allows us to obtain an approximate model of the non-linear system. The estimation of the influence of the modelling error on the discrepancy between the model and real system outputs is given. Possible applications of this approach to the design of BIBO stable closed-loop control are proposed.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2002, 12, 2; 235-240
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Finite horizon nonlinear predictive control by the Taylor approximation: Application to robot tracking trajectory
    Autorzy:
    Hedjar, R.
    Toumi, R.
    Boucher, P.
    Dumur, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/908454.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    układ nieliniowy
    układ ciągły
    sterowanie predykcyjne
    aproksymacja Taylora
    śledzenie trajektorii
    nonlinear continuous time predictive control
    Taylor approximation
    tracking trajectory and robot
    Opis:
    In industrial control systems, practical interest is driven by the fact that today’s processes need to be operated under tighter performance specifications. Often these demands can only be met when process nonlinearities are explicitly considered in the controller. Nonlinear predictive control, the extension of well-established linear predictive control to nonlinear systems, appears to be a well-suited approach for this kind of problems. In this paper, an optimal nonlinear predictive control structure, which provides asymptotic tracking of smooth reference trajectories, is presented. The controller is based on a finite–horizon continuous time minimization of nonlinear predicted tracking errors. A key feature of the control law is that its implementation does not need to perform on-line optimization, and asymptotic tracking of smooth reference signal is guaranteed. An integral action is used to increase the robustness of the closed-loop system with respect to uncertainties and parameters variations. The proposed control scheme is first applied to planning motions problem of a mobile robot and, afterwards, to the trajectory tracking problem of a rigid link manipulator. Simulation results are performed to validate the tracking performance of the proposed controller.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2005, 15, 4; 527-540
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Linear adaptive structure for control of a nonlinear MIMO dynamic plant
    Autorzy:
    Bańka, S.
    Dworak, P.
    Jaroszewski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/329882.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    MIMO multivariable control systems
    nonlinear system
    modal control
    wielowymiarowy układ sterowania
    układ nieliniowy
    sterowanie modalne
    Opis:
    In the paper an adaptive linear control system structure with modal controllers for a MIMO nonlinear dynamic process is presented and various methods for synthesis of those controllers are analyzed. The problems under study are exemplified by the synthesis of a position and yaw angle control system for a drillship described by a 3DOF nonlinear mathematical model of low-frequency motions made by the drillship over the drilling point. In the proposed control system, use is made of a set of (stable) linear modal controllers that create a linear adaptive controller with variable parameters tuned appropriately to operation conditions chosen on the basis of two measured auxiliary signals. These are the ship’s current forward speed measured in reference to the water and the systematically calculated difference between the course angle and the sea current (yaw angle). The system synthesis is carried out by means of four different methods for system pole placement after having linearized the model of low-frequency motions made by the vessel at its nominal “operating points” in steady states that are dependent on the specified yaw angle and the sea current velocity. The final part of the paper includes simulation results of system operation with an adaptive controller of (stepwise) varying parameters along with conclusions and final remarks.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2013, 23, 1; 47-63
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design of a multivariable neural controller for control of a nonlinear MIMO plant
    Autorzy:
    Bańka, S.
    Dworak, P.
    Jaroszewski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/330790.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    MIMO multivariable control system
    nonlinear system
    neural control
    wielowymiarowy układ sterowania
    układ nieliniowy
    sterowanie neuronowe
    Opis:
    The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a drillship over the drilling point at the sea bottom. The designed neural controller contains a set of neural nets that determine values of its parameters chosen on the basis of two measured auxiliary signals. These are the ship’s current forward speed measured with respect to water and the systematically calculated difference between the course angle and the sea current (yaw angle). Four different methods for synthesis of multivariable modal controllers are used to obtain source data for training the neural controller with parameters reproduced by neural networks. Neural networks are designed on the basis of 3650 modal controllers obtained with the use of the pole placement technique after having linearized the model of LF motions made by the vessel at its nominal operating points in steady states that are dependent on the specified yaw angle and the sea current velocity. The final part of the paper includes simulation results of system operation with a neural controller along with conclusions and final remarks.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2014, 24, 2; 357-369
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of an Isope-Type Dual Algorithm for Optimizing Control and Nonlinear Optimization
    Autorzy:
    Tadej, W.
    Tatjewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/908338.pdf
    Data publikacji:
    2001
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    optymalizacja nieliniowa
    sterowanie optymalizujące
    nonlinear optimization
    optimizing control
    duality
    condition number
    Opis:
    First results concerning important theoretical properties of the dual ISOPE (Integrated System Optimization and Parameter Estimation) algorithm are presented. The algorithm applies to on-line set-point optimization in control structures with uncertainty in process models and disturbance estimates, as well as to difficult nonlinear constrained optimization problems. Properties of the conditioned (dualized) set of problem constraints are investigated, showing its structure and feasibility properties important for applications. Convergence conditions for a simplified version of the algorithm are derived, indicating a practically important threshold value of the right-hand side of the conditioning constraint. Results of simulations are given confirming the theoretical results and illustrating properties of the algorithms.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2001, 11, 2; 429-457
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Active fault tolerant control of nonlinear systems: the cart-pole example
    Autorzy:
    Bonfe, M.
    Castaldi, P.
    Mimmo, N.
    Simani, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/907604.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    detekcja uszkodzeń
    lokalizacja uszkodzeń
    filtracja nieliniowa
    sterowanie tolerujące uszkodzenia
    fault detection
    fault isolation
    nonlinear filter
    nonlinear geometric approach
    fault tolerant control
    cart pole nonlinear model
    Opis:
    This paper describes the design of fault diagnosis and active fault tolerant control schemes that can be developed for nonlinear systems. The methodology is based on a fault detection and diagnosis procedure relying on adaptive filters designed via the nonlinear geometric approach, which allows obtaining the disturbance de-coupling property. The controller reconfiguration exploits directly the on-line estimate of the fault signal. The classical model of an inverted pendulum on a cart is considered as an application example, in order to highlight the complete design procedure, including the mathematical aspects of the nonlinear disturbance de-coupling method based on the nonlinear differential geometry, as well as the feasibility and efficiency of the proposed approach. Extensive simulations of the benchmark process and Monte Carlo analysis are practical tools for assessing experimentally the robustness and stability properties of the developed fault tolerant control scheme, in the presence of modelling and measurement errors. The fault tolerant control method is also compared with a different approach relying on sliding mode control, in order to evaluate benefits and drawbacks of both techniques. This comparison highlights that the proposed design methodology can constitute a reliable and robust approach for application to real nonlinear processes.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2011, 21, 3; 441-455
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effective dual-mode fuzzy DMC algorithms with on-line quadratic optimization and guaranteed stability
    Autorzy:
    Marusak, P. M.
    Tatjewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/907866.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system nieliniowy
    system rozmyty
    sterowanie predykcyjne
    stabilność
    sterowność wymuszona
    nonlinear system
    fuzzy system
    model predictive control
    stability
    constrained control
    dual-mode control
    Opis:
    Dual-mode fuzzy dynamic matrix control (fuzzy DMC-FDMC) algorithms with guaranteed nominal stability for constrained nonlinear plants are presented. The algorithms join the advantages of fuzzy Takagi-Sugeno modeling and the predictive dual-mode approach in a computationally efficient version. Thus, they can bring an improvement in control quality compared with predictive controllers based on linear models and, at the same time, control performance similar to that obtained using more demanding algorithms with nonlinear optimization. Numerical effectiveness is obtained by using a successive linearization approach resulting in a quadratic programming problem solved on-line at each sampling instant. It is a computationally robust and fast optimization problem, which is important for on-line applications. Stability is achieved by appropriate introduction of dual-mode type stabilization mechanisms, which are simple and easy to implement. The effectiveness of the proposed approach is tested on a control system of a nonlinear plant-a distillation column with basic feedback controllers.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2009, 19, 1; 127-141
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    How to compensate a spreading disturbance for a class of nonlinear systems
    Autorzy:
    Quaraai, Y.
    Bernoussi, A. S.
    El Jai, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/907943.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    zaburzenia
    sterowanie
    system nieliniowy
    system rozproszony
    distributed nonlinear systems
    disturbance
    spreadability
    remediability
    control
    Opis:
    We consider a system which is assumed to be affected by an expanding disturbance which occurs at the initial time. The compensation of the disturbance is accomplished by extending the concept of remediability to a class of nonlinear systems. The results are implemented and illustrated with a nonlinear distributed model.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 2; 171-187
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Tracking Control Algorithms for a Laboratory Aerodynamical System
    Autorzy:
    Gorczyca, P.
    Hajduk, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/907962.pdf
    Data publikacji:
    2004
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system nieliniowy
    sterowanie w czasie rzeczywistym
    sterowanie nadążne
    kontroler suboptymalny
    nonlinear systems
    real-time control
    tracking control
    suboptimal controller
    Opis:
    The tracking control problem of a strongly nonlinear MIMO system is presented. The system shares some features with a helicopter, such as important interactions between the vertical and horizontal motions. The dedicated I/O board allows for control, measurements and communication with a PC. The RTWT toolbox in the MATLAB environment is used to perform real-time experiments. The control task is to track a predefined reference trajectory. A mathematical model of the system, containing experimental characteristics, is used to design the controllers: a multidimensional PD, a suboptimal controller in the sense of a quadratic performance index and a variable gain controller.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2004, 14, 4; 469-475
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Actuator fault tolerance in control systems with predictive constrained set-point optimizers
    Autorzy:
    Marusak, P. M.
    Tatjewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/929879.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie odporne na błędy
    sterowanie predykcyjne
    optymalizacja
    system nieliniowy
    fault tolerant control
    model predictive control
    set-point optimization
    nonlinear system
    Opis:
    Mechanisms of fault tolerance to actuator faults in a control structure with a predictive constrained set-point optimizer are proposed. The structure considered consists of a basic feedback control layer and a local supervisory set-point optimizer which executes as frequently as the feedback controllers do with the aim to recalculate the set-points both for constraint feasibility and economic performance. The main goal of the presented reconfiguration mechanisms activated in response to an actuator blockade is to continue the operation of the control system with the fault, until it is fixed. This may be even long-term, if additional manipulated variables are available. The mechanisms are relatively simple and consist in the reconfiguration of the model structure and the introduction of appropriate constraints into the optimization problem of the optimizer, thus not affecting the numerical effectiveness. Simulation results of the presented control system for a multivariable plant are provided, illustrating the efficiency of the proposed approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 4; 539-551
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Soft computing in model-based predictive control
    Autorzy:
    Tatjewski, P.
    Ławryńczuk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/908473.pdf
    Data publikacji:
    2006
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie procesami
    sterowanie predykcyjne
    system nieliniowy
    system rozmyty
    sieć neuronowa
    process control
    model predictive control
    nonlinear systems
    fuzzy systems
    neural networks
    Opis:
    The application of fuzzy reasoning techniques and neural network structures to model-based predictive control (MPC) is studied. First, basic structures of MPC algorithms are reviewed. Then, applications of fuzzy systems of the Takagi-Sugeno type in explicit and numerical nonlinear MPC algorithms are presented. Next, many techniques using neural network modeling to improve structural or computational properties of MPC algorithms are presented and discussed, from a neural network model of a process in standard MPC structures to modeling parts or entire MPC controllers with neural networks. Finally, a simulation example and conclusions are given.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2006, 16, 1; 7-26
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Powerful nonlinear observer associated with field-oriented control of an induction motor
    Autorzy:
    Mansouri, A.
    Chenafa, M.
    Bouhenna, A.
    Etien, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/907397.pdf
    Data publikacji:
    2004
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    silnik indukcyjny
    obserwator nieliniowy
    rezystancja wirnika
    induction motor
    field-oriented control
    nonlinear observer
    rotor resistance
    Opis:
    In this paper, we associate field-oriented control with a powerful nonlinear robust flux observer for an induction motor to show the improvement made by this observer compared with the open-loop and classical estimator used in this type of control. We implement this design strategy through an extension of a special class of nonlinear multivariable systems satisfying some regularity assumptions. We show by an extensive study that this observer is completely satisfactory at low and nominal speeds and it is not sensitive to disturbances and parametric errors. It is robust to changes in load torque, rotational speed and rotor resistance. The method achieves a good performance with only one easier gain tuning obtained from an algebraic Lyapunov equation. Finally, we present results and simulations with concluding remarks on the advantages and perspectives for the observer proposed with the field-oriented control.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2004, 14, 2; 209-220
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Stabilising solutions to a class of nonlinear optimal state tracking problems using radial basis function networks
    Autorzy:
    Ahmida, Z.
    Charef, A.
    Becerra, V. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/908523.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system nieliniowy
    sterowanie optymalne
    radialna funkcja bazowa
    sieć neuronowa
    regulacja predykcyjna
    sterowanie wyprzedzające
    nonlinear systems
    optimal control
    radial basis functions
    neural networks
    predictive control
    feedforward control
    Opis:
    A controller architecture for nonlinear systems described by Gaussian RBF neural networks is proposed. The controller is a stabilising solution to a class of nonlinear optimal state tracking problems and consists of a combination of a state feedback stabilising regulator and a feedforward neuro-controller. The state feedback stabilising regulator is computed online by transforming the tracking problem into a more manageable regulation one, which is solved within the framework of a nonlinear predictive control strategy with guaranteed stability. The feedforward neuro-controller has been designed using the concept of inverse mapping. The proposed control scheme is demonstrated on a simulated single-link robotic manipulator.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2005, 15, 3; 369-381
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics
    Autorzy:
    Rafajłowicz, E.
    Styczeń, K.
    Rafajłowicz, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/331421.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    programowanie nieliniowe
    sterowanie optymalne
    równanie różniczkowe cząstkowe
    filter approach
    nonlinear programming
    optimal control
    partial differential equations
    Opis:
    Our aim is to adapt Fletcher's filter approach to solve optimal control problems for systems described by nonlinear Partial Differential Equations (PDEs) with state constraints. To this end, we propose a number of modifications of the filter approach, which are well suited for our purposes. Then, we discuss possible ways of cooperation between the filter method and a PDE solver, and one of them is selected and tested.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2012, 22, 2; 313-326
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Global Stability of Linearizing Control With a New Robust Nonlinear Observer of The Induction Motor
    Autorzy:
    Chenafa, M.
    Mansouri, A.
    Bouhenna, A.
    Etien, E.
    Belaidi, A.
    Denai, M. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/911129.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    obserwatory nieliniowe
    sterowanie liniowe
    silnik indukcyjny
    stabilność globalna
    nonlinear observer
    linearizing control
    induction motor
    global stability
    Opis:
    This paper mainly deals with the design of an advanced control law with an observer for a special class of nonlinear systems. We design an observer with a gain as a function of speed. We study the solution to the output feedback torque and rotor flux-tracking problem for an induction motor model given in the natural frame. We propose a new robust nonlinear observer and prove the global stability of the interlaced controller-observer system. The control algorithm is studied through simulations and applied in many configurations (various set points, flux and speed profiles and torque disturbances), and is shown to be very efficient.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2005, 15, 2; 235-243
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust flat filtering control of a two degrees of freedom helicopter subject to tail rotor disturbances
    Autorzy:
    Sánchez-Meza, Victor-Gabriel
    Lozano-Hernández, Yair
    Gutiérrez-Frías, Octavio
    Lozada-Castillo, Norma
    Luviano-Juárez, Alberto
    Powiązania:
    https://bibliotekanauki.pl/articles/24200696.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    flat filtering control
    generalized proportional integral control
    nonlinear system
    tail rotor disturbance
    two degrees of freedom helicopter
    sterowanie całkujące
    układ nieliniowy
    zakłócenia wirnika
    Opis:
    This article deals with modelling and a flatness-based robust trajectory tracking scheme for a two degrees of freedom helicopter, which is subject to four types of tail rotor disturbances to validate the control scheme robustness. A mathematical model of the system, its differential flatness and a differential parametrization are obtained. The flat filtering control is designed for the system control with a partially known model, assuming the non-modelled dynamics and the external disturbances (specially the tail rotor ones) to be rejected by means of an extended state model (ultra-local model). Numerical and experimental assessments are carried out on a characterized prototype whose yaw angle (ψ), given by the z axis, is in free form, while the pitch angle (θ), which results from rotation about the y axis, is mechanically restricted. The proposed controller performance is tested through a set of experiments in trajectory tracking tasks with different disturbances in the tail rotor, showing robust behaviour for the different disturbances. Besides, a comparison study against a widely used controller of LQR type is carried out, in which the proposed controller achieves better results, as illustrated by a performance index.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2023, 33, 4; 521--535
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Protector control: Extension to a class of nonlinear distributed systems
    Autorzy:
    Qaraai, Y.
    Bernoussi, A. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/907703.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system nieliniowy
    system rozproszony
    zaburzenia
    podatność na uszkodzenia
    nonlinear distributed systems
    disturbance
    spreadability
    vulnerability
    remediability
    protector control
    Opis:
    We present an extension of the protector control scheme introduced for the linear case in a previous work to a class of nonlinear systems. The systems considered are assumed to have a finite propagation velocity while the initial state is subject to a spreading disturbance. We characterize such a control first by using the remediability approach to the resulting nonlinear delay system, and then by coupling families of transformations and the delay approach. To illustrate this work, we provide a simulation example.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2010, 20, 3; 427-443
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Convergence of the Lagrange-Newton Method for Optimal Control Problems
    Autorzy:
    Malanowski, K. D.
    Powiązania:
    https://bibliotekanauki.pl/articles/907971.pdf
    Data publikacji:
    2004
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie optymalne
    ograniczenia mieszane
    metoda Lagrange'a-Newtona
    optimal control
    nonlinear ODEs
    mixed constraints
    Lagrange-Newton method
    Opis:
    Convergence results for two Lagrange-Newton-type methods of solving optimal control problems are presented. It is shown how the methods can be applied to a class of optimal control problems for nonlinear ODEs, subject to mixed control-state constraints. The first method reduces to an SQP algorithm. It does not require any information on the structure of the optimal solution. The other one is the shooting method, where information on the structure of the optimal solution is exploited. In each case, conditions for well-posedness and local quadratic convergence are given. The scope of applicability is briefly discussed.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2004, 14, 4; 531-540
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Input constraints handling in an MPC/feedback linearization scheme
    Autorzy:
    Deng, J.
    Becerra, V. M.
    Stobart, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/907653.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie predykcyjne
    sterowanie odwrotne
    sieć neuronowa
    system nieliniowy
    predictive control
    feedback linearization
    neural network
    nonlinear system
    constraints
    Opis:
    The combination of model predictive control based on linear models (MPC) with feedback linearization (FL) has attracted interest for a number of years, giving rise to MPC+FL control schemes. An important advantage of such schemes is that feedback linearizable plants can be controlled with a linear predictive controller with a fixed model. Handling input constraints within such schemes is difficult since simple bound contraints on the input become state dependent because of the nonlinear transformation introduced by feedback linearization. This paper introduces a technique for handling input constraints within a real timeMPC/FL scheme, where the plant model employed is a class of dynamic neural networks. The technique is based on a simple affine transformation of the feasible area. A simulated case study is presented to illustrate the use and benefits of the technique.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2009, 19, 2; 219-232
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust adaptive fuzzy filters output feedback control of strict-feedback nonlinear systems
    Autorzy:
    Tong, S.
    Liu, C.
    Li, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/908148.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system nieliniowy
    sterowanie rozmyte
    sprzężenie zwrotne
    nonlinear system
    adaptive fuzzy control
    backstepping
    small-gain approach
    K-filters
    Opis:
    In this paper, an adaptive fuzzy robust output feedback control approach is proposed for a class of single input single output (SISO) strict-feedback nonlinear systems without measurements of states. The nonlinear systems addressed in this paper are assumed to possess unstructured uncertainties, unmodeled dynamics and dynamic disturbances, where the unstructured uncertainties are not linearly parameterized, and no prior knowledge of their bounds is available. In recursive design, fuzzy logic systems are used to approximate unstructured uncertainties, and K-filters are designed to estimate unmeasured states. By combining backstepping design and a small-gain theorem, a stable adaptive fuzzy output feedback control scheme is developed. It is proven that the proposed adaptive fuzzy control approach can guarantee the all the signals in the closed-loop system are uniformly ultimately bounded, and the output of the controlled system converges to a small neighborhood of the origin. The effectiveness of the proposed approach is illustrated by a simulation example and some comparisons.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2010, 20, 4; 637-653
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear state-space predictive control with on-line linearisation and state estimation
    Autorzy:
    Ławryńczuk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/330330.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    process control
    model predictive control
    nonlinear state space model
    extended Kalman filter
    online linearization
    proces sterowania
    model sterowania predykcyjnego
    model przestrzeni stanów
    rozszerzony filtr Kalmana
    Opis:
    This paper describes computationally efficient model predictive control (MPC) algorithms for nonlinear dynamic systems represented by discrete-time state-space models. Two approaches are detailed: in the first one the model is successively linearised on-line and used for prediction, while in the second one a linear approximation of the future process trajectory is directly found on-line. In both the cases, as a result of linearisation, the future control policy is calculated by means of quadratic optimisation. For state estimation, the extended Kalman filter is used. The discussed MPC algorithms, although disturbance state observers are not used, are able to compensate for deterministic constant-type external and internal disturbances. In order to illustrate implementation steps and compare the efficiency of the algorithms, a polymerisation reactor benchmark system is considered. In particular, the described MPC algorithms with on-line linearisation are compared with a truly nonlinear MPC approach with nonlinear optimisation repeated at each sampling instant.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2015, 25, 4; 833-847
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault tolerant control of switched nonlinear systems with time delay under asynchronous switching
    Autorzy:
    Xiang, Z.
    Wang, R.
    Chen, Q.
    Powiązania:
    https://bibliotekanauki.pl/articles/929592.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    opóźnienie czasowe
    sterowanie tolerujące uszkodzenia
    układ komutowany
    układ nieliniowy
    time delay
    fault tolerant control
    switched nonlinear systems
    asynchronous switching
    Opis:
    This paper investigates the problem of fault tolerant control of a class of uncertain switched nonlinear systems with time delay under asynchronous switching. The systems under consideration suffer from delayed switchings of the controller. First, a fault tolerant controller is proposed to guarantee exponentially stability of the switched systems with time delay. The dwell time approach is utilized for stability analysis and controller design. Then the proposed approach is extended to take into account switched time delay systems with Lipschitz nonlinearities and structured uncertainties. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2010, 20, 3; 497-506
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modeling nonlinear road traffic networks for junction control
    Autorzy:
    Péter, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/330975.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    modelowanie matematyczne
    układ dodatni nieliniowy
    liniowa funkcja Lapunowa
    mathematical modeling
    mathematical control
    traffic networks
    nonlinear positive system
    linear Lyapunov function
    Opis:
    The paper introduces a method of mathematical modeling of high scale road traffic networks, where a new special hypermatrix structure is intended to be used. The structure describes the inner-inner, inner-outer and outer-outer relations, and laws of a network area. The research examines the nonlinear equation system. The analysed model can be applied to the testing and planning of large-scale road traffic networks and the regulation of traffic systems. The elaborated model is in state space form, where the states are vehicle densities on a particular lane and the dynamics are described by a nonlinear state constrained positive system. This model can be used directly for simulation and analysis and as a starting point for investigating various control strategies. The stability of the traffic over the network can be analyzed by constructing a linear Lyapunov function and the associated theory. The model points out that in intersection control one must take the traffic density values of both the input and the output sections into account. Generally, the control of any domain has to take the density of input and output sections into consideration.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2012, 22, 3; 723-732
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An Algorithm for Construction of varepsilon-Value Functions for the Bolza Control Problem
    Autorzy:
    Jacewicz, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/908335.pdf
    Data publikacji:
    2001
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    optymalizacja nieliniowa
    sterowanie optymalne
    nonlinear optimization
    Bolza problem
    optimal control
    Hamilton-Jacobi equation
    dynamic programming
    varepsilon-value function
    approximate minimum
    Opis:
    The problem considered is that of approximate numerical minimisation of the non-linear control problem of Bolza. Starting from the classical dynamic programming method of Bellman, an varepsilon-value function is defined as an approximation for the value function being a solution to the Hamilton-Jacobi equation. The paper shows how an varepsilon-value function which maintains suitable properties analogous to the original Hamilton-Jacobi value function can be constructed using a stable numerical algorithm. The paper shows the numerical closeness of the approximate minimum to the infimum of the Bolza functional.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2001, 11, 2; 391-428
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    LMI-based robust control of uncertain nonlinear systems via polytopes of polynomials
    Autorzy:
    Sánchez, Marcelino
    Bernal, Miguel
    Powiązania:
    https://bibliotekanauki.pl/articles/330548.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    robust control
    uncertain system
    nonlinear system
    linear parameter-varying systems
    LMIs
    sterowanie odporne
    układ niepewny
    układ nieliniowy
    układ liniowy niestacjonarny
    Opis:
    This investigation is concerned with robust analysis and control of uncertain nonlinear systems with parametric uncertainties. In contrast to the methodologies from the field of linear parameter varying systems, which employ convex structures of the state space representation in order to perform analysis and design, the proposed approach makes use of a polytopic form of a generalisation of the characteristic polynomial, which proves to outperform former results on the subject. Moreover, the derived conditions have the advantage of being cast as linear matrix inequalities under mild assumptions.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2019, 29, 2; 275-283
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural network-based MRAC control of dynamic nonlinear systems
    Autorzy:
    Debbache, G.
    Bennia, A.
    Goléa, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/908401.pdf
    Data publikacji:
    2006
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sieć neuronowa
    model odniesienia
    system nieliniowy
    sterowanie adaptacyjne
    obserwator
    stabilność
    neural networks
    reference model
    nonlinear systems
    adaptive control
    observer
    stability
    Opis:
    This paper presents direct model reference adaptive control for a class of nonlinear systems with unknown nonlinearities. The model following conditions are assured by using adaptive neural networks as the nonlinear state feedback controller. Both full state information and observer-based schemes are investigated. All the signals in the closed loop are guaranteed to be bounded and the system state is proven to converge to a small neighborhood of the reference model state. It is also shown that stability conditions can be formulated as linear matrix inequalities (LMI) that can be solved using efficient software algorithms. The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters. Simulation results are presented to show the effectiveness of the approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2006, 16, 2; 219-232
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Suboptimal fault tolerant control design with the use of discrete optimization
    Autorzy:
    Kowalczuk, Z.
    Oliński, K. E.
    Powiązania:
    https://bibliotekanauki.pl/articles/929873.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie optymalne
    system odporny na uszkodzenia
    model nieliniowy
    badania operacyjne
    optymalizacja dyskretna
    optimal control
    fault tolerant systems
    nonlinear model
    operations research
    discrete optimization
    Opis:
    This paper presents a concept of designing fault tolerant control systems with the use of suboptimal methods. We assume that a given (nonlinear) dynamical process is described in a state space. The method consists in searching (at the off-line stage) for a trajectory of operational points of the system state space. The sought trajectory can be constrained by certain conditions, which can express faults or failures already detected. Within this approach, we are able to use the autonomous dynamics of the process in order to minimize a control cost index (a sub-optimality property). The search itself is based on finding a cheapest path in a graph structure, which represents the system’s dynamics described in the state space. Such a cheapest path (if it exists) represents the sought trajectory. Another (on-line) design stage consists in tracking this trajectory by an executive controller.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 4; 561-568
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Method for Constructing ε-value Functions for The Bolza Problem of Optimal Control
    Autorzy:
    Pustelnik, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/911140.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    optymalizacja nieliniowa
    sterowanie optymalne
    równanie Hamiltona-Jacobiego
    programowanie dynamiczne
    wartość funkcji
    nonlinear optimization
    Bolza problem
    optimal control
    Hamilton-Jacobi equation
    dynamic programming
    value function
    approximate minimum
    Opis:
    The problem considered is that of approximate minimisation of the Bolza problem of optimal control. Starting from Bellman's method of dynamic programming, we define the ε-value function to be an approximation to the value function being a solution to the Hamilton-Jacobi equation. The paper shows an approach that can be used to construct an algorithm for calculating the values of an ε-value function at given points, thus approximating the respective values of the value function.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2005, 15, 2; 177-186
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault-tolerant tracking control for a non-linear twin-rotor system under ellipsoidal bounding
    Autorzy:
    Kukurowski, Norbert
    Mrugalski, Marcin
    Pazera, Marcin
    Witczak, Marcin
    Powiązania:
    https://bibliotekanauki.pl/articles/2124781.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fault tolerant control
    simultaneous fault
    external disturbances
    nonlinear system
    robust fault estimation
    fault detection
    fault diagnosis
    sterowanie tolerujące uszkodzenia
    uszkodzenie równoczesne
    zakłócenia zewnętrzne
    układ nieliniowy
    szacowanie błędu
    wykrywanie uszkodzenia
    diagnoza uszkodzenia
    Opis:
    A novel fault-tolerant tracking control scheme based on an adaptive robust observer for non-linear systems is proposed. Additionally, it is presumed that the non-linear system may be faulty, i.e., affected by actuator and sensor faults along with the disturbances, simultaneously. Accordingly, the stability of the robust observer as well as the fault-tolerant tracking controller is achieved by using the ℋ∞ approach. Furthermore, unknown actuator and sensor faults and states are bounded by the uncertainty intervals for estimation quality assessment as well as reliable fault diagnosis. This means that narrow intervals accompany better estimation quality. Thus, to cope with the above difficulty, it is assumed that the disturbances are over-bounded by an ellipsoid. Consequently, the performance and correctness of the proposed fault-tolerant tracking control scheme are verified by using a non-linear twin-rotor aerodynamical laboratory system.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 2; 171--183
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-48 z 48

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies