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Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems
Chen C.L.P.; Liu Y.-J.; Wen G.-X.
2014
Source PublicationIEEE Transactions on Cybernetics
ISSN21682267
Volume44Issue:5Pages:583
AbstractThis paper studies an adaptive tracking control for a class of nonlinear stochastic systems with unknown functions. The considered systems are in the nonaffine pure-feedback form, and it is the first to control this class of systems with stochastic disturbances. The fuzzy-neural networks are used to approximate unknown functions. Based on the backstepping design technique, the controllers and the adaptation laws are obtained. Compared to most of the existing stochastic systems, the proposed control algorithm has fewer adjustable parameters and thus, it can reduce online computation load. By using Lyapunov analysis, it is proven that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded in probability and the system output tracks the reference signal to a bounded compact set. The simulation example is given to illustrate the effectiveness of the proposed control algorithm. © 2013 IEEE.
KeywordAdaptive control backstepping design fuzzy-neural networks nonlinear stochastic systems
DOI10.1109/TCYB.2013.2262935
URLView the original
Language英语
The Source to ArticleScopus
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Cited Times [WOS]:252   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Recommended Citation
GB/T 7714
Chen C.L.P.,Liu Y.-J.,Wen G.-X.. Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems[J]. IEEE Transactions on Cybernetics,2014,44(5):583.
APA Chen C.L.P.,Liu Y.-J.,&Wen G.-X..(2014).Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems.IEEE Transactions on Cybernetics,44(5),583.
MLA Chen C.L.P.,et al."Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems".IEEE Transactions on Cybernetics 44.5(2014):583.
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