Intelligent backstepping control for chaotic systems using self-growing fuzzy neural network

Chih Min Lin*, Chun Fei Hsu, I. Fang Chung

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

This paper proposes an intelligent backstepping control (IBC) for the chaotic systems. The IBC system is comprised of a neural backstepping controller and a robust compensation controller. The neural backstepping controller containing a self-growing fuzzy neural network (SGFNN) identifier is the principal controller, and the robust compensation controller is designed to dispel the effect of minimum approximation error introduced by the SGFNN identifier. Finally, simulation results verify that the IBC system can achieve favorable tracking performance.

原文English
主出版物標題Intelligent Control and Automation
主出版物子標題International Conference on Intelligent Computing, ICIC 2006
編輯De-Shuang Huang, Kang Li, George William Irwin
頁面299-308
頁數10
DOIs
出版狀態Published - 2006

出版系列

名字Lecture Notes in Control and Information Sciences
344
ISSN(列印)0170-8643

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