Title :
A Robust Adaptive Fuzzy CMAC Controller for Nonlinear Systems
Author_Institution :
Ming Chuan Univ., Taoyuan
Abstract :
In this paper, a redesign of an adaptive fuzzy sliding mode cerebellar model articulation controller (FSCMAC) is presented. Adaptation laws for proposed FSCMAC are used to estimate the system models for approximating an ideal controller, and then a compensated controller is appended to guarantee the system stability for eliminating the effect of the approximation error. The redesign of FSCMAC is used to attenuate the chattering control signal and promote the robustness of adaptation laws. An illustrated example is utilized to show the performance of the proposed control scheme.
Keywords :
adaptive control; cerebellar model arithmetic computers; control system synthesis; fuzzy control; nonlinear control systems; stability; variable structure systems; adaptive fuzzy sliding mode cerebellar model articulation controller; chattering control signal; nonlinear systems; robust adaptive fuzzy CMAC controller; system stability; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Power capacitors; Programmable control; Robust control; Sliding mode control;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.83
