Title :
Direct Adaptive Fuzzy Control for a Class of Nonlinear Discrete-Time Systems
Author_Institution :
Sch. of Comput. Technol. & Autom., Tianjin Polytech. Univ., China
Abstract :
The fuzzy logic system is used to design controller directly for a class of nonlinear discrete-time systems, and the unknown parameters in the controller are adjusted adaptively by the tracking error. It is proved that the proposed method can not only guarantee the bounded of the input signal, but also make the tracking error converge to a small neighborhood of the origin. Simulation results indicate the effectiveness of this method.
Keywords :
adaptive control; control system synthesis; discrete time systems; fuzzy control; nonlinear control systems; adaptive fuzzy control; controller design; fuzzy logic system; nonlinear discrete-time system; Adaptive control; Computer errors; Control systems; Design automation; Error correction; Fuzzy control; Fuzzy logic; IEEE catalog; Nonlinear control systems; Programmable control; adaptive control; fuzzy control; nonlinear discrete-time systems;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280605
