Paper:
Language: English:
Non Linear Disturbance Accommodation Fuzzy Control
Slim Abdelbari and Jelel Ezzine
Signals and Systems Laboratory, ENIT, Tunisia
Received: July 20, 2005
Accepted: June 4, 2007
Keywords: Takagi-Sugeno fuzzy systems, chaotic systems, DAC theory, fuzzy observer, LMIs.
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.12, No.2 pp. 165-171, 2008
Abstract
This paper deals with the problem of chaotic disturbances accommodation when these are generated by known non linear dynamics. In order to accomplish this goal, Takagi-Sugeno fuzzy models are called for as they offer the advantage of having virtually a linear rule consequent to approximate non linear systems. A control law inspired from the known disturbance accommodation control theory (DAC theory) is used to make the effects of disturbances vanish or attenuated while the considered linear plant is stabilized at the same time. An illustrative example is provided.
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