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论文类型：期刊论文

发表时间：2012-07-01

发表刊物：OPTIMAL CONTROL APPLICATIONS & METHODS

收录刊物：SCIE、EI、Scopus

卷号：33

期号：4

页面范围：433-444

ISSN号：0143-2087

关键字：switched Hopfield neural networks; time-varying delay; hysteretic switching rule

摘要：This paper considers the asymptotic stability problem for switched Hopfield neural networks with time-varying delay under the hysteretic switching rule. The single and multiple Lyapunov function methods are employed to design the hysteretic switching rule dependent on the current state and previous value of the switching signal. Sufficient conditions are given in terms of linear matrix inequalities to guarantee the stability of such a system. Two examples illustrate the effectiveness of the proposed approaches. Copyright (c) 2011 John Wiley & Sons, Ltd.