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 1083-4419Full text for this resource is not available from the Research Repository.
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.
|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
|Date Deposited:||23 Apr 2012 04:08|
|Last Modified:||15 Dec 2014 23:09|
|ePrint Statistics:||View download statistics for this item|
|Citations in Scopus:||37 - View on Scopus|
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