Korbicz, Józef - red. ; Uciński, Dariusz - red.
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 15, number 3 (2005) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2021-09-07
2020-08-21
84
https://zbc.uz.zgora.pl/publication/64081
Nazwa wydania | Data |
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Stabilising solutions to a class of nonlinear optimal state tracking problems using radial basis function networks | 2021-09-07 |
Deng, Jiamei Becerra, Victor M. Stobart, Richard Korbicz, Józef - ed.
Haber, Robert Bars, Ruth Lengyel, Orsolya Kowalczuk, Zdzisław - red.
Tatjewski, Piotr Ławryńczuk, Maciej Korbicz, Józef - red.
Ladaci, Samir Charef, Abdelfettah Loiseau, Jean Jacques Korbicz, Józef - ed.
Dzieliński, Andrzej Korbicz, Józef - red. Uciński, Dariusz - red.
Ławryńczuk, Maciej Tatjewski, Piotr Korbicz, Józef - red. Uciński, Dariusz - red.
Ławryńczuk, Maciej Korbicz, Józef - ed.
Ławryńczuk, Maciej Korbicz, Józef - red.