The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O problema de projetar um controle adaptativo robusto para sistemas não lineares com parâmetros incertos e variáveis no tempo é abordado. O limite superior dos parâmetros incertos, considerados mesmo nos coeficientes de controle, não precisa ser conhecido. Um controlador de rastreamento adaptativo é apresentado e, usando a teoria de Lyapunov, a estabilidade em malha fechada e a convergência do erro de rastreamento são mostradas. A fim de melhorar o desempenho do método, um mecanismo robusto é incorporado ao controlador adaptativo produzindo um algoritmo adaptativo robusto. O controlador proposto garante a limitação de todos os sinais de malha fechada e a convergência robusta do erro de rastreamento, apesar das incertezas dos parâmetros variantes no tempo com limites desconhecidos. Os sistemas paramétricos incertos em consideração descrevem uma ampla classe de circuitos e sistemas não lineares. Como aplicação, um novo modelo paramétrico é derivado para o circuito não linear de Chua e então, o método proposto é utilizado para seu controle. A eficácia do método é demonstrada por alguns resultados de simulação.
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Hamid R. KOOFIGAR, Saeed HOSSEINNIA, Farid SHEIKHOLESLAM, "Robust Adaptive Control of Nonlinear Systems with Time-Varying Parameters and Its Application to Chua's Circuit" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2507-2513, September 2008, doi: 10.1093/ietfec/e91-a.9.2507.
Abstract: The problem of designing a robust adaptive control for nonlinear systems with uncertain time-varying parameters is addressed. The upper bound of uncertain parameters, considered even in control coefficients, are not required to be known. An adaptive tracking controller is presented and, using the Lyapunov theory, the closed-loop stability and tracking error convergence is shown. In order to improve the performance of the method, a robust mechanism is incorporated into the adaptive controller yielding a robust adaptive algorithm. The proposed controller guarantees the boundedness of all closed-loop signals and robust convergence of tracking error in spite of time-varying parameter uncertainties with unknown bounds. The parametric uncertain systems under consideration describes a wide class of nonlinear circuits and systems. As an application, a novel parametric model is derived for nonlinear Chua's circuit and then, the proposed method is used for its control. The effectiveness of the method is demonstrated by some simulation results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2507/_p
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@ARTICLE{e91-a_9_2507,
author={Hamid R. KOOFIGAR, Saeed HOSSEINNIA, Farid SHEIKHOLESLAM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Adaptive Control of Nonlinear Systems with Time-Varying Parameters and Its Application to Chua's Circuit},
year={2008},
volume={E91-A},
number={9},
pages={2507-2513},
abstract={The problem of designing a robust adaptive control for nonlinear systems with uncertain time-varying parameters is addressed. The upper bound of uncertain parameters, considered even in control coefficients, are not required to be known. An adaptive tracking controller is presented and, using the Lyapunov theory, the closed-loop stability and tracking error convergence is shown. In order to improve the performance of the method, a robust mechanism is incorporated into the adaptive controller yielding a robust adaptive algorithm. The proposed controller guarantees the boundedness of all closed-loop signals and robust convergence of tracking error in spite of time-varying parameter uncertainties with unknown bounds. The parametric uncertain systems under consideration describes a wide class of nonlinear circuits and systems. As an application, a novel parametric model is derived for nonlinear Chua's circuit and then, the proposed method is used for its control. The effectiveness of the method is demonstrated by some simulation results.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2507},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Robust Adaptive Control of Nonlinear Systems with Time-Varying Parameters and Its Application to Chua's Circuit
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2507
EP - 2513
AU - Hamid R. KOOFIGAR
AU - Saeed HOSSEINNIA
AU - Farid SHEIKHOLESLAM
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2507
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - The problem of designing a robust adaptive control for nonlinear systems with uncertain time-varying parameters is addressed. The upper bound of uncertain parameters, considered even in control coefficients, are not required to be known. An adaptive tracking controller is presented and, using the Lyapunov theory, the closed-loop stability and tracking error convergence is shown. In order to improve the performance of the method, a robust mechanism is incorporated into the adaptive controller yielding a robust adaptive algorithm. The proposed controller guarantees the boundedness of all closed-loop signals and robust convergence of tracking error in spite of time-varying parameter uncertainties with unknown bounds. The parametric uncertain systems under consideration describes a wide class of nonlinear circuits and systems. As an application, a novel parametric model is derived for nonlinear Chua's circuit and then, the proposed method is used for its control. The effectiveness of the method is demonstrated by some simulation results.
ER -