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DELAY-DEPENDENT GLOBAL ASYMPTOTIC STABILITY ANALYSIS OF DELAYED CELLULAR NEURAL NETWORKS  

Yang, Yitao (College of Science, Tianjin University of Technology)
Zhang, Yuejin (College of Information and Business, Zhongyuan University of Technology)
Publication Information
Journal of applied mathematics & informatics / v.28, no.3_4, 2010 , pp. 583-596 More about this Journal
Abstract
In this paper, the problem of delay-dependent stability analysis for cellular neural networks systems with time-varying delays was considered. By using a new Lyapunov-Krasovskii function, delay-dependant stability conditions of the delayed cellular neural networks systems are proposed in terms of linear matrix inequalities (LMIs). Examples are provided to demonstrate the reduced conservatism of the proposed stability results.
Keywords
Delayed cellular neural networks (DCNNs); global asymptotic stability; linear matrix inequality (LMI); time-delay systems;
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