Adaptive Control of Uncertain Chaotic Systems Based on Takagi-Sugeno Fuzzy Models(Special Section on Nonlinear Theory and its Applications)

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概要

• 論文の詳細を見る

• 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 to control of a uncertain Lorenz system based on T-S fuzzy model such as stabilization, synchronization and chaotic model following control (CMFC).

• 社団法人電子情報通信学会の論文
• 2001-09-01

著者

• Lee Ching-hung

  Department Of Electrical Engineering Yuan Ze University

• Park C‐w

  Korea Electronics Technol. Inst. Kyunggi‐do Kor

• Kim J‐h

  Yonsei Univ. Seoul Kor

• Lee Chong-ho

  Department Of Electrical Engineering Yuan Ze University

• Park Mignon

  Ics Laboratory Department Of Electrical And Electronic Engineering Yonsei University

• PARK Chang-Woo

  ICS Laboratory, Department of Electrical and Electronic Engineering, Yonsei University

• LEE Chang-Hoon

  ICS Laboratory, Department of Electrical and Electronic Engineering, Yonsei University

• KIM Jung-Hwan

  ICS Laboratory, Department of Electrical and Electronic Engineering, Yonsei University

• Lee Chang-hoon

  Ics Laboratory Department Of Electrical And Electronic Engineering Yonsei University

• Kim J‐h

  Ics Laboratory Department Of Electrical And Electronic Engineering Yonsei University

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