Adaptive Fuzzy CMAC Control for Nonlinear Systems

Author

Chen, Jen-Yang ; Shin, Haw-Yun

Author_Institution

Dept. of Electron. Eng., Ming-Chuan Univ., Taoyuan

fYear

2008

fDate

18-20 June 2008

Firstpage

470

Lastpage

470

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICIC.2008.113

Filename

4603659