A Time-Delay-Dependent Approach for a Class of T-S Fuzzy Models with Time Delays and Uncertainties | Zendy

Hugang Han | Zendy; Taku Tanaka | Zendy

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A Time-Delay-Dependent Approach for a Class of T-S Fuzzy Models with Time Delays and Uncertainties

Author(s) -

Hugang Han,

Taku Tanaka

Publication year - 2012

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.2012.p0748

Subject(s) - computer science , control theory (sociology) , fuzzy logic , class (philosophy) , mode (computer interface) , fuzzy control system , stability (learning theory) , lyapunov function , function (biology) , basis (linear algebra) , control (management) , artificial intelligence , mathematics , nonlinear system , machine learning , physics , geometry , quantum mechanics , evolutionary biology , biology , operating system

This paper deals with a class of T-S fuzzy models with time delays and uncertainties. On the basis of the socalled delay partitioning idea and a novel Lyapunov function candidate, a time-delay-dependent approach is provided in order to alleviate the conservatism of conditions for system stability. At the same time, the sliding-mode and adaptive control techniques are adopted to deal with the uncertainties, trying to remove some drawbacks in the existing results of fuzzy sliding-mode control systems.

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