DocumentCode
404303
Title
Adaptive fuzzy control for a class of uncertain nonlinear systems
Author
Velez-Diaz, D. ; Yu Tang
Author_Institution
Univ. of Hidalgo State, Mexico
Volume
5
fYear
2003
fDate
9-12 Dec. 2003
Firstpage
5227
Abstract
An adaptive fuzzy control system for a class of uncertain nonlinear systems is presented in this paper. Fuzzy basis function expansions are used to approximate the unknown dynamics in a nonlinear system. The parameters of the FBF expansions are updated using an adaptive law resulted from the Lyapunov-based design. Semi-global asymptotical tracking to a reference trajectory upto a ultimately bounded error is achieved with the proposed control. The effectiveness of this method is demonstrated through simulations.
Keywords
Lyapunov methods; adaptive control; function approximation; fuzzy control; fuzzy logic; nonlinear control systems; stability; uncertain systems; Lyapunov based design; adaptive fuzzy control system; bounded error; function approximation; fuzzy basis function; reference trajectory; semiglobal asymptotical tracking; uncertain nonlinear systems; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Trajectory; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7924-1
Type
conf
DOI
10.1109/CDC.2003.1272467
Filename
1272467
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