Title :
Adaptive Fuzzy CMAC Control for Nonlinear Systems
Author :
Chen, Jen-Yang ; Shin, Haw-Yun
Author_Institution :
Dept. of Electron. Eng., Ming-Chuan Univ., Taoyuan
Abstract :
In this paper, a fuzzy cerebellar model arithmetic controller (FCMAC) is proposed to solve the tracking problem of a class of nonlinear systems. The control law of the proposed controller is employed to approximate an ideal control law for nonlinear systems. In addition to a compensated control law is used to assure the system stability. Both control laws are derived from the Lyapunov stability analysis, so that the system tracking ability and the error convergence can be guaranteed in the closed loop system. Finally, an electric drive system is utilized to show the satisfactory performance of the proposed control scheme.
Keywords :
Lyapunov methods; adaptive control; cerebellar model arithmetic computers; closed loop systems; fuzzy control; neurocontrollers; nonlinear control systems; stability; CMAC control; Lyapunov stability analysis; adaptive fuzzy control; closed loop system; electric drive system; error convergence; fuzzy cerebellar model arithmetic controller; nonlinear system; system tracking ability; Adaptive control; Arithmetic; Control systems; Fuzzy control; Fuzzy systems; Lyapunov method; Nonlinear control systems; Nonlinear systems; Programmable control; Stability;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.113
