NDLI: Development of Adaptive Intelligent Backstepping Tracking Control for Uncertain Chaotic Systems

Content Provider	IEEE Xplore Digital Library
Author	Ya-Fu Peng Ming-Hung Lin Chih-Hui Chiu Chih-Min Lin
Copyright Year	2007
Description	Author affiliation: Ching-Yun Univ., Tao-Yuan (Ya-Fu Peng)
Abstract	The cerebellar model articulation controller (CMAC) is a nonlinear adaptive system with built-in simple computation, good generalization capability and fast learning property. In this paper, an adaptive intelligent backstepping tracking control (AIBTC) system combined with adaptive CMAC and $H^{infin}$ control technique is proposed for a class of chaotic systems. In the proposed control system, an adaptive backstepping cerebellar model articulation controller (ABCMAC) is used to mimic an ideal backstepping control (IBC), and a robust controller is designed to attenuate the effect of the residual approximation errors and external disturbances with desired attenuation level. Moreover, the all adaptation laws of the AIBTC system are derived based on the Lyapunov stability analysis and $H^{infin}$ control theory, so that the stability of the closed-loop system can be guaranteed. Finally, two application examples are used to demonstrate the effectiveness of proposed control technique.
Starting Page	2037
Ending Page	2043
File Size	1128010
Page Count	7
File Format	PDF
ISBN	9781424409723
DOI	10.1109/ICMLC.2007.4370481
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Intelligent control Backstepping Control systems Chaos Adaptive systems Nonlinear control systems Control system synthesis Robust control Cerebellar model articulation controller Backstepping control
Content Type	Text
Resource Type	Article

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