Non Linear Disturbance Accommodation Fuzzy Control | Zendy

Slim Abdelbari | Zendy; Jelel Ezzine | Zendy

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Non Linear Disturbance Accommodation Fuzzy Control

Author(s) -

Slim Abdelbari,

Jelel Ezzine

Publication year - 2008

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2008.p0165

Subject(s) - accommodation , control theory (sociology) , computer science , chaotic , fuzzy logic , disturbance (geology) , fuzzy control system , control (management) , linear system , nonlinear system , mathematics , artificial intelligence , paleontology , neuroscience , biology , mathematical analysis , physics , quantum mechanics

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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