Title :
Adaptive fuzzy control for a class of uncertain nonlinear systems
Author :
Velez-Diaz, D. ; Yu Tang
Author_Institution :
Univ. of Hidalgo State, Mexico
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;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272467
