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Adaptive Control of Uncertain Chaotic Systems Based on Takagi-Sugeno Fuzzy Models

Chang-Woo PARK, Chang-Hoon LEE, Jung-Hwan KIM, Mignon PARK

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Summary :

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).

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.9 pp.2101-2117
Publication Date
2001/09/01
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
Category
Chaos & Dynamics

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