Title :
Adaptive fuzzy sliding mode control with unknown virtual control coefficients and perturbed uncertainties
Author :
Zhang, Tian-Ping ; Mei, Jian-Dong ; Shen, Qi-kun ; Jiang, Hai-bo
Author_Institution :
Dept. of Comput., Yangzhou Univ., China
Abstract :
The problem of adaptive fuzzy sliding mode control for a class of nonlinear systems with unknown virtual control coefficients and perturbed uncertainties is discussed in this paper. By introducing boundary layer, and combining backstepping technique with direct adaptive control, a novel scheme of adaptive fuzzy control is proposed. In order to reduce the modeling error effect and improve the control performance of the closed-loop system, the adaptive compensation term of the approximation error and disturbance is introduced within virtual control and control law design. By Lyapunov method, the closed-loop control system is shown to be uniformly ultimately bounded, and tracking error asymptotically converges to an arbitrary given accuracy.
Keywords :
Lyapunov methods; adaptive control; closed loop systems; control system synthesis; error compensation; fuzzy control; nonlinear control systems; perturbation techniques; variable structure systems; Lyapunov method; adaptive compensation term; adaptive fuzzy sliding mode control; backstepping technique; boundary layer; closed-loop system; control law design; modeling error effect reduction; nonlinear systems; perturbed uncertainties; unknown virtual control coefficients; Adaptive control; Control systems; Error correction; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control; Sliding mode control; Uncertainty; Fuzzy control; adaptive control; backstepping; stability;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527063