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Wyszukujesz frazę "nonlinear system control" wg kryterium: Temat


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:
On the robustness of the integrable trajectories of the control systems with limited control resources
Autorzy:
Huseyin, Nesir
Huseyin, Anar
Guseinov, Khalik G.
Powiązania:
https://bibliotekanauki.pl/articles/27321481.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
nonlinear control system
integral equation
integral constraint
integrable trajectory
robustness
Opis:
The control system described by Urysohn type integral equation is considered where the system is nonlinear with respect to the phase vector and is affine with respect to the control vector. The control functions are chosen from the closed ball of the space Lq(Ω; ℝm), q > 1, with radius r and centered at the origin. The trajectory of the system is defined as p-integrable multivariable function from the space Lp(Ω; ℝn), (1/q) + (1/p) = 1, satisfying the system’s equation almost everywhere. It is shown that the system’s trajectories are robust with respect to the fast consumption of the remaining control resource. Applying this result it is proved that every trajectory can be approximated by the trajectory obtained by full consumption of the total control resource.
Źródło:
Archives of Control Sciences; 2023, 33, 3; 527--537
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Chattering attenuation in sliding mode control systems
Autorzy:
Bartoszewicz, A.
Powiązania:
https://bibliotekanauki.pl/articles/206731.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
nieliniowy system sterowania
nonlinear control system
compensation
control nonlinearities
sliding mode control
variable structure systems
Opis:
In this paper sliding mode control systems are considered and a new technique to attenuate chattering is proposed. The technique employs simple, first-order dynamical devices, i.e. an integrator or a low-pass filter, to compensate in part for unknown and changing disturbance. As a result of this compensation, the magnitude of the discontinuous control term is essentially reduced. The term does not depend on the admissible disturbance or its change rate, but only on the uncertainty of the disturbance at the initial time t = t[sub o]. The technique proposed in this paper attenuates the undesirable chattering without any deterioration of the system performance.
Źródło:
Control and Cybernetics; 2000, 29, 2; 585-584
0324-8569
Pojawia się w:
Control and Cybernetics
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:
Nieliniowe sterowanie predykcyjne kaskadowym układem zbiorników
Nonlinear predictive control of a cascade of tanks
Autorzy:
Bieniek, B.
Piotrowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/276826.pdf
Data publikacji:
2017
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
kaskadowy układ zbiorników
modelowanie
sterowanie
nieliniowy układ regulacji
predykcyjny układ regulacji
cascade tanks
modeling
control
nonlinear control system
predictive control
Opis:
Obiektem regulacji jest kaskadowy układ trzech zbiorników firmy INTECO. Do sterowania wykorzystywane są dwa z nich. Zaprojektowano dwa układy regulacji poziomu wody: jednowymiarowe algorytmy MPC – po jednym dla każdego ze zbiorników oraz wielowymiarowy algorytm MPC sterujący całym układem. Przeprowadzono analizę porównawczą opracowanych algorytmów sterowania dla zmiennej trajektorii zadanej.
The control system is a cascade of three tanks of INTECO. They are used to control two of them. Two algorithms of water level control are used: two single dimensional model predictive control (MPC) algorithms, one for each tank, and a multi-dimensional MPC controlling both tanks simultaneously. A comparative analysis of developed control algorithms for variable set-point trajectory.
Źródło:
Pomiary Automatyka Robotyka; 2017, 21, 1; 25-30
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wieloobszarowy układ regulacji PI do sterowania prędkością obrotową samochodu z silnikiem spalinowym
Multiregional PI control system of the rotational speed of a car with an internal combustion engine
Autorzy:
Strojny, R.
Piotrowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/276445.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
modelowanie matematyczne
systemy dynamiczne
układ napędowy
wieloobszarowy regulator PI
nieliniowy system sterowania
mathematical modeling
dynamic systems
propulsion system
multiregional PI controller
nonlinear control system
Opis:
Sterowanie pojazdami stanowi istotny obszar działalności koncernów samochodowych. W pracy przedstawiono nieliniowy model matematyczny układu napędowego samochodu osobowego z silnikiem spalinowym. Następnie zaproponowano strukturę systemu sterowania i zaprojektowano nieliniowy wieloobszarowy układ regulacji PI. Przeprowadzono testy symulacyjne zaproponowanego rozwiązania i dokonano krytycznej analizy uzyskanych wyników.
Control of vehicles has a key role in the activities of car companies. The paper presents a nonlinear mathematical model of the propulsion system of a passenger car with a petrol engine. Next, new control structure and the nonlinear multiregional PI control system of the rotational speed are designed. Finally, the results of simulation and a critical analysis are presented.
Źródło:
Pomiary Automatyka Robotyka; 2013, 17, 6; 90-95
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Anti-synchronization in different new chaotic systems via active nonlinear control
Autorzy:
Khan, A.
Prasad, R. P.
Powiązania:
https://bibliotekanauki.pl/articles/229711.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
new chaotic system
anti-synchronization
active nonlinear control
Opis:
In this paper, we discuss anti-synchronization between two identical new chaotic systems and anti-synchronization between another two identical new chaotic systems by active nonlinear control. The sufficient conditions for achieving the anti-synchronization of two new chaotic systems are derived based on Lyapunov stability theory. Numerical simulations are provided for illustration and verification of the proposed method.
Źródło:
Archives of Control Sciences; 2013, 23, 2; 229-242
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy adaptive control of nonlinear two-mass system
Autorzy:
Wróbel, K.
Powiązania:
https://bibliotekanauki.pl/articles/1193270.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fuzzy control
adaptive control
nonlinear two-mass system
compensation of friction
Opis:
In the paper, an adaptive control MRAS-based structure for nonlinear two-mass system is proposed. The performance of the control structure is supported by additional compensator. After short introduction a mathematical model of the drive system is presented. In the plant, the additional nonlinearities such as friction and mechanical hysteresis are considered. Then the structure of the fuzzy system is shown. Contrary to the majority of papers the controller considered is based on the II type fuzzy sets. Then the simulation tests showing performance of the proposed structure are presented. The drive is tested at different operation points, including low-speed region where friction plays dominant role. A comparison of classical PI controller with antiwindup and the proposed structure is presented. Then laboratory set-up with DC motor is described briefly. Experimental results are included in the paper. It is shown that the torsional vibrations of two-mass system are damped effectively. The impact of the existing delays of system is discussed. A summary is given at the end of the paper.
Źródło:
Power Electronics and Drives; 2016, 1, 36/2; 133-146
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Active Noise Control Algorithm Based on a Neural Network and Nonlinear Input-Output System Identification Model
Autorzy:
Krukowicz, T.
Powiązania:
https://bibliotekanauki.pl/articles/178040.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
active noise control
neural network
system identification
nonlinear phenomena
Opis:
The development of digital signal processors and the increase in their computing capabilities bring opportunities to employ algorithms with multiple variable parameters in active noise control systems. Of particular interest are the algorithms based on artificial neural networks. This paper presents an active noise control algorithm based on a neural network and a nonlinear input-output system identification model. The purpose of the algorithm is an active noise control system with a nonlinear primary path. The algorithm uses the NARMAX system identification model. The neural network employed in the proposed algorithm is a multilayer perceptron. The error backpropagation rule with adaptive learning rate is employed to update the weight of the neural network. The performance of the proposed algorithm has been tested by numerical simulations. Results for narrow-band input signals and nonlinear primary path are presented below.
Źródło:
Archives of Acoustics; 2010, 35, 2; 191-202
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Układ regulacji z modelem wewnętrznym sterujący obiektem nieliniowym
Control system with internal model regulating a nonlinear plant
Autorzy:
Kula, K.
Pozorski, K.
Powiązania:
https://bibliotekanauki.pl/articles/267875.pdf
Data publikacji:
2014
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
system wentylacji klatki schodowej
model nieliniowy
IMC
nonlinear control
Opis:
W pracy przedstawiono koncepcję układu sterowania obiektem nieliniowym, jakim jest system wentylacji klatki schodowej, stanowiącej drogę ewakuacji na wypadek pożaru budynku wielopiętrowego. Opiera się ona na zastosowaniu modelu nieliniowego oraz jego inwersji przy wykorzystaniu techniki sprzężenia zwrotnego. Dzięki wprowadzeniu do struktury regulatora modelu obiektu układ adoptuje się do zmiennych warunków pracy.
The paper presents the concept of a nonlinear control system, which is the stairwell ventilation system, which is a means of escape in case of fire multi-storey building. It is based on the use of non-linear model and its inversion using feedback techniques. With the introduction the model to the structure of the controller system adapts to changing conditions.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2014, 40; 65-68
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
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:
Hammerstein Nonlinear Active Noise Control with the Filtered-Error LMS Algorithm
Autorzy:
Mazur, K.
Pawełczyk, M.
Powiązania:
https://bibliotekanauki.pl/articles/176841.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
active noise-vibration control
active structural acoustic control
adaptive algorithm
nonlinear system
Opis:
Active Noise Control (ANC) of noise transmitted through a vibrating plate causes many problems not observed in classical ANC using loudspeakers. They are mainly due to vibrations of a not ideally clamped plate and use of nonlinear actuators, like MFC patches. In case of noise transmission though a plate, nonlinerities exist in both primary and secondary paths. Existence of nonlinerities in the system may degrade performance of a linear feedforward control system usually used for ANC. The performance degradation is especially visible for simple deterministic noise, such as tonal noise, where very high reduction is expected. Linear feedforward systems in such cases are unable to cope with higher harmonics generated by the nonlinearities. Moreover, nonlinearities, if not properly tackled with, may cause divergence of an adaptive control system. In this paper a feedforward ANC system reducing sound transmitted through a vibrating plate is presented. The ANC system uses nonlinear control filters to suppress negative effects of nonlinearies in the system. Filtered-error LMS algorithm, found more suitable than usually used Filtered-reference LMS algorithm, is employed for updating parameters of the nonlinear filters. The control system is experimentally verified and obtained results are discussed.
Źródło:
Archives of Acoustics; 2013, 38, 2; 197-203
0137-5075
Pojawia się w:
Archives of Acoustics
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:
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

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