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Global asymptotic stability for a class of nonlinear neural networks with multiple delays
Authors:Yi-You Hou  Teh-Lu Liao  Jun-Juh Yan
Affiliation:1. Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan, ROC;2. Department of Computer and Communication, Shu-Te University, Kaohsiung 824, Taiwan, ROC
Abstract:This paper investigates the global asymptotic stability (GAS) for a class of nonlinear neural networks with multiple delays. Based on Lyapunov stability theory and the linear matrix inequality (LMI) technique, a less conservative delay-dependent stability criterion is derived. The present result is shown to be less conservative than those given in the literature.
Keywords:Neural networks   Global asymptotic stability (GAS)   Lyapunov stability theory   Linear matrix inequality (LMI)
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