Delay-Dependent Stability Analysis for Neural Networks with Distributed Delays
نویسندگان
چکیده
This paper deals with the problem of delay-dependent stability for neural networks with distributed delays. Some new sufficient condition are derived by constructing a novel Lyapunov-Krasovskii functional approach. The criteria are formulated in terms of a set of linear matrix inequalities, this is convenient for numerically checking the system stability using the powerful MATLAB LMI Toolbox. Moreover, in order to show the stability condition in this paper gives much less conservative results than those in the literature, numerical examples are considered. Keywords—Neural networks, Globally asymptotic stability , LMI approach, Distributed delays.
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تاریخ انتشار 2014