The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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A New Augmented Lyapunov Functional Approach to Robust Stability Criteria for Uncertain Fuzzy Neural Networks with Time-varying Delays

시변 지연이 존재하는 불확실 퍼지 뉴럴 네트워크의 강인 안정성 판별법에 대한 새로운 리아프노프 함수법

  • 권오민 (충북대학교 전기공학부) ;
  • 박명진 (충북대학교 전기공학부) ;
  • 이상문 (대구대학교 전자공학부) ;
  • 박주현 (영남대학교 전기공학과)
  • Received : 2011.08.03
  • Accepted : 2011.09.29
  • Published : 2011.11.01
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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.

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References

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