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

Title
시변 지연이 존재하는 불확실 퍼지 뉴럴 네트워크의 강인 안정성 판별법에 대한 새로운 리아프노프 함수법
Other Titles
A New Augmented Lyapunov Functional Approach to Robust Stability Criteria for Uncertain Fuzzy Neural Networks with Time-varying Delays
Author(s)
박주현O.M. Kwon[O.M. Kwon]S.M. Lee[S.M. Lee]M.J. Park[M.J. Park]
Keywords
Neural networks; Takagi-Sugeno systems; Time-varying delay; Stability; Lyapunov method; LMI
Issue Date
201111
Publisher
대한전기학회
Citation
전기학회논문지, v.60, no.11, pp.2119 - 2130
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.
URI
http://hdl.handle.net/YU.REPOSITORY/24233
ISSN
1975-8359
Appears in Collections:
공과대학 > 전기공학과 > Articles
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