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http://dx.doi.org/10.5370/KIEE.2011.60.11.2119

A New Augmented Lyapunov Functional Approach to Robust Stability Criteria for Uncertain Fuzzy Neural Networks with Time-varying Delays  

Kwon, Oh-Min (충북대학교 전기공학부)
Park, Myeong-Jin (충북대학교 전기공학부)
Park, Ju-Hyun (대구대학교 전자공학부)
Lee, Sang-Moon (영남대학교 전기공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.60, no.11, 2011 , pp. 2119-2130 More about this Journal
Abstract
This paper proposes new delay-dependent robust stability criteria for neural networks with time-varying delays. By construction of a suitable Lyapunov-Krasovskii's (L-K) functional and use of Finsler's lemma, new stability criteria for the networks are established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. Two numerical examples are given to illustrate the effectiveness of the proposed methods.
Keywords
Neural networks; Takagi-Sugeno systems; Time-varying delay; Stability; Lyapunov method; LMI;
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Times Cited By KSCI : 1  (Citation Analysis)
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