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Indexed by:期刊论文

Date of Publication:2012-07-01

Journal:OPTIMAL CONTROL APPLICATIONS & METHODS

Included Journals:SCIE、EI、Scopus

Volume:33

Issue:4

Page Number:433-444

ISSN No.:0143-2087

Key Words:switched Hopfield neural networks; time-varying delay; hysteretic switching rule

Abstract: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.