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Design of an Adaptive Fuzzy Controller and Its Application to Controlling Uncertain Chaotic Systems
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  • Design of an Adaptive Fuzzy Controller and Its Application to Controlling Uncertain Chaotic Systems
  • Design of an Adaptive Fuzzy Controller and Its Application to Controlling Uncertain Chaotic Systems
저자명
Rark. Chang-woo,Lee. Chang-Hoon,Kim. Jung-Hwan,Kim. Seungho,Park. Mignon
간행물명
Transactions on control, automation and systems engineering
권/호정보
2001년|3권 2호|pp.95-105 (11 pages)
발행정보
제어로봇시스템학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

In this paper, in order to control uncertain chaotic system, an adaptive fuzzy control(AFC) scheme is developed for the multi-input/multi-output plants represented by the Takagi-Sugeno(T-S) fuzzy models. The proposed AFC scheme provides robust tracking of a desired signal for the T-S fuzzy systems with uncertain parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the chaotic state tracks the state of the stable reference model(SRM) asymptotically with time for any bounded reference input signal. The suggested AFC design technique is applied for the control of an uncertain Lorenz system based on T-S fuzzy model such as stabilization, synchronization and chaotic model following control(CMFC).