Adaptive backstepping tracking control using self-organizing fuzzy neural network

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

研究成果: Conference contribution同行評審

摘要

This paper proposes an adaptive backstepping tracking control (ABTC) via self-organizing fuzzy neural network (SOFNN) approach. The proposed ABTC system is comprised of a backstepping tracking controller and an L1 controller. The backstepping tracking controller containing a SOFNN identifier is the principal controller, and the L, controller is designed to achieve a tracking performance with desired attenuation level. The SOFNN identifier is used to online estimate the system dynamics with structure and parameter learning. Finally, the proposed ABTC is applied to control a chaotic dynamic system. The simulation results verify that the proposed ABTC system can achieve favorable tracking performance by incorporating of neural network approach and adaptive backstepping control technique.

原文English
主出版物標題IMECS 2006 - International MultiConference of Engineers and Computer Scientists 2006
頁面54-59
頁數6
出版狀態Published - 6月 2006
事件International MultiConference of Engineers and Computer Scientists 2006, IMECS 2006 - Kowloon, Hong Kong
持續時間: 20 6月 200622 6月 2006

出版系列

名字Lecture Notes in Engineering and Computer Science
ISSN(列印)2078-0958

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2006, IMECS 2006
國家/地區Hong Kong
城市Kowloon
期間20/06/0622/06/06

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