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Exponential Stability Analysis for Neural Networks With Time-Varying Delay

Wu, Min and Liu, Fang and Shi, Peng and He, Yong and Yokoyama, Ryuichi (2008) Exponential Stability Analysis for Neural Networks With Time-Varying Delay. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 38 (4). pp. 1152-1156. ISSN 1083-4419

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Abstract

This correspondence paper focuses on the problem of exponential stability for neural networks with a time-varying delay. The relationship among the time-varying delay, its upper bound, and their difference is taken into account. As a result, an improved linear-matrix-inequality-based delay-dependent exponential stability criterion is obtained without ignoring any terms in the derivative of Lyapunov-Krasovskii functional. Two numerical examples are given to demonstrate its effectiveness.

Item Type: Article
Uncontrolled Keywords: ResPubID18743, Lyapunov methods, delays, linear matrix inequalities, neural nets, stability criteria, time-varying systems
Subjects: Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0199 Other Mathematical Sciences Information Systems
Depositing User: VUIR
Date Deposited: 23 Apr 2012 04:08
Last Modified: 15 Dec 2014 23:09
URI: http://vuir.vu.edu.au/id/eprint/4058
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Citations in Scopus: 37 - View on Scopus

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