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Wyszukujesz frazę "control of nonlinear systems" wg kryterium: Wszystkie pola

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    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:
    Optimal control of systems determined by strongly nonlinear operator valued measures
    Autorzy:
    Ahmed, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/729396.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
    Tematy:
    evolution equations
    strongly nonlinear operator valued measures
    existence of solutions
    regularity properties
    optimal control
    Opis:
    In this paper we consider a class of distributed parameter systems (partial differential equations) determined by strongly nonlinear operator valued measures in the setting of the Gelfand triple V ↪ H ↪ V* with continuous and dense embeddings where H is a separable Hilbert space and V is a reflexive Banach space with dual V*. The system is given by
    dx + A(dt,x) = f(t,x)γ(dt) + B(t)u(dt), x(0) = ξ, t ∈ I ≡ [0,T]
    where A is a strongly nonlinear operator valued measure mapping Σ × V to V* with Σ denoting the sigma algebra of subsets of the set I and f is a nonlinear operator mapping I × H to H, γ is a countably additive bounded positive measure and the control u is a suitable vector measure. We present existence, uniqueness and regularity properties of weak solutions and then prove the existence of optimal controls (vector valued measures) for a class of control problems.
    Źródło:
    Discussiones Mathematicae, Differential Inclusions, Control and Optimization; 2008, 28, 1; 165-189
    1509-9407
    Pojawia się w:
    Discussiones Mathematicae, Differential Inclusions, Control and Optimization
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cooperation of model predictive control with steady-state economic optimisation
    Autorzy:
    Ławryńczuk, M.
    Marusak, P. M.
    Tatjewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/971007.pdf
    Data publikacji:
    2008
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    sterowanie optymalne
    optymalizacja
    predictive control
    optimal control
    optimisation
    economic steady-state optimisation
    nonlinear control systems
    constrained control
    Opis:
    The problem of cooperation of Model Predictive Control (MPC) algorithms with steady-state economic optimisation is investigated in this paper. It is particularly important when the dynamics of disturbances is comparable with the dynamics of the process, since in such a case the classical hierarchical multilayer structure is likely to be not efficient and give the economic yield smaller than expected. This is because the economic nonlinear optimisation problem cannot be then solved on-line to update the optimal operating point as frequently as needed. On the other hand, simple target set-point optimisation based on linear models can be also insufficiently accurate. This paper introduces approximate formulations of the target set-point optimisation problem which tightly cooperates with the MPC and is solved as frequently as the MPC controller executes. Linear, linear-quadratic and piecewise-linear formulations are discussed, tuning guidelines are also given.
    Źródło:
    Control and Cybernetics; 2008, 37, 1; 133-158
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Output tracking control of an aircraft subject to additive state dependent disturbance: an optimal control approach
    Autorzy:
    Tanyer, Ilker
    Tatlicioglu, Enver
    Zergeroglu, Erkan
    Powiązania:
    https://bibliotekanauki.pl/articles/1409414.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    optimal control
    aerospace applications
    nonlinear systems
    mechanical applications
    mechatronics applications
    robust control
    Opis:
    In this paper, model reference output feedback tracking control of an aircraft subject to additive, uncertain, nonlinear disturbances is considered. In order to present the design steps in a clear fashion: first, the aircraft dynamics is temporarily assumed as known with all the states of the system available. Then a feedback linearizing controller minimizing a performance index while only requiring the output measurements of the system is proposed. As the aircraft dynamics is uncertain and only the output is available, the proposed controller makes use of a novel uncertainty estimator. The stability of the closed loop system and global asymptotic tracking of the proposed method are ensured via Lyapunov based arguments, asymptotic convergence of the controller to an optimal controller is also established. Numerical simulations are presented in order to demonstrate the feasibility and performance of the proposed control strategy.
    Źródło:
    Archives of Control Sciences; 2021, 31, 2; 267-286
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptacyjny regulator LQR w układzie sterowania kątem kursowym i prędkością statku opisanego nieliniowym modelem dynamicznym MIMO
    Adaptative LQR course-keeping controller for the nonlinear MIMO model of a container vessel
    Autorzy:
    Brasel, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/408076.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
    Tematy:
    sterowanie optymalne
    sterowanie adaptacyjne
    obiekty nieliniowe
    nieliniowy model statku
    optimal control
    adaptive control
    nonlinear systems
    nonlinear model of a ship
    Opis:
    W artykule zaprezentowano adaptacyjny układ sterowania kątem kursowym i prędkością statku opisanego nieliniowym modelem dynamicznym MIMO (ang. Multi-input, Multi-Output) o czterech stopniach swobody ruchu (ang. Four-Degrees-of-Freedom, 4-DoF). Przedstawiony model statku jest silnie nieliniowy i uwzględnia nie tylko ograniczenia saturacyjne sygnałów sterujących ale także dynamikę maszyny sterowej i napędu głównego. Głównym zadaniem zaprojektowanego adaptacyjnego regulatora LQR jest sterowanie kątem kursowym statku i jego prędkością względem wody. Poszczególne zestawy parametrów regulatora użyte w procesie adaptacji zostały wyznaczone na podstawie linearyzacji modelu statku w wybranych nominalnych punktach pracy. W końcowej części artykułu przedstawiono wyniki badań symulacyjnych zaprojektowanego regulatora w układzie z pełnym nieliniowym modelem statku.
    In the paper an adaptive control system for the nonlinear 4-DoF model of a container vessel is presented. The considered model of the ship includes input signals saturations and dynamics of actuators. Main goal of the presented control system is control of the course angle and speed of the ship relative to water. The system synthesis is carried out by means of LQ-optimal control method. Sets of controller parameters are designed using linearization of the considered model in the nominal steady-state operating points of the ship. The final part of the paper includes simulation results of control system operation with full nonlinear MIMO model of the container vessel.
    Źródło:
    Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2014, 2; 49-52
    2083-0157
    2391-6761
    Pojawia się w:
    Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimal control of dynamic systems using a new adjoining cell mapping method with reinforcement learning
    Autorzy:
    Arribas-Navarro, T.
    Prieto, S.
    Plaza, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/205725.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    optimal control
    cells mapping
    state space
    reinforcement learning
    stability
    nonlinear control
    controllability
    Opis:
    This work aims to improve and simplify the procedure used in the Control Adjoining Cell Mapping with Reinforcement Learning (CACM-RL) technique, for the tuning process of an optimal contro ller during the pre-learning stage (controller design), making easier the transition from a simulation environment to the real world. Common problems, encountered when working with CACM-RL, are the adjustment of the cell size and the long-term evolution error. In this sense, the main goal of the new approach, developed for CACM-RL that is proposed in this work (CACMRL*), is to give a response to both problems for helping engineers in defining of the control solution with accuracy and stability criteria instead of cell sizes. The new approach improves the mathematical analysis techniques and reduces the engineering effort during the design phase. In order to demonstrate the behaviour of CACM-RL*, three examples are described to show its application to real problems. In All the examples, CACM-RL* improves with respect to the considered alternatives. In some cases, CACM- RL* improves the average controllability by up to 100%.
    Źródło:
    Control and Cybernetics; 2015, 44, 3; 369-387
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    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 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:
    Discrete approximation of nonconvex hyperbolic optimal control problems with state constraints
    Autorzy:
    Chryssoverghi, I.
    Bacopoulos, A.
    Coletsos, J.
    Kokkinis, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/205975.pdf
    Data publikacji:
    1998
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    dyskretyzacja
    nieliniowy układ hiperboliczny
    sterowanie optymalne
    zasada minimum
    discretization
    existence theory
    minimum principle
    nonlinear hyperbolic systems
    optimal control
    relaxed controls
    Opis:
    We consider an opitmal control problem for systems defined by nonlinear hyperbolic partial differential equations with state constraints. Since no convexity assumptions are made on the data, we also consider the control problem in relaxed form. We discretize both the classical and the relaxed problenms by using a finite element method in space and a finite difference scheme in time, the controls being approximated by piecevise constant ones. We develop the existence theory and the necessary conditions for optimality, for the continous and the discrete problems. Finally, we study the behaviour in the limit of discrete optimality, admissibility and extremality properties.
    Źródło:
    Control and Cybernetics; 1998, 27, 1; 29-50
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    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
      Wyświetlanie 1-10 z 10

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