Adaptive Learning and Control Using Sliding Modes
A novel robust tracking control scheme is proposed for a class of nonlinear systems. It is shown that a nonlinear system is first approximated by a fuzzy nominal model by aggregating a set of linearized local subsystems and then a conventional linear feedback controller is designed to stabilise the nominal system. ; In order to obtain good tracking performance for the controlled nonlinear system, a variable structure compensator is introduced to eliminate the effects of the approximation error and uncertainties between the fuzzy nominal model and the nonlinear system. A simulation example using a one-link rigid robotic manipulator is given in support of the proposed control scheme.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 8, number 1 (1998) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Jul 14, 2025
Dec 18, 2020
141
https://www.zbc.uz.zgora.pl/publication/64639
Edition name | Date |
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A robust tracking control scheme for a class of nonlinear systems with fuzzy nominal model | Jul 14, 2025 |
Kaczorek, Tadeusz (1932- ) Triggiani, Roberto- ed. Maksimov, Vyacheslav I. - ed.
Ling, Wei-Ming Rivera, Daniel E. Skliar, Mikhail - red. Ramirez, W. Fred - red.
Duever, Thomas A. Penlidis, Alexander Skliar, Mikhail - red. Ramirez, W. Fred - red.
Yin, K. Karen Li, Xing Bonde, John Richards, Carl Cholwek, Gary Skliar, Mikhail - red. Ramirez, W. Fred - red.
Klein, Eric J. Rivera, Sheyla L. Skliar, Mikhail - red. Ramirez, W. Fred - red.
Tholudur, Arun Ramirez, W. Fred Skliar, Mikhail - red. Ramirez, W. Fred - red.
Luo, Ningsu De La Sen, Manuel Rodellar, José Yu, Xinghuo - red.
Elliott, Stephen J. Logemann, Hartmut - red. Townley, Stuart - red.