Delay-Dependent Stability Analysis for Neural Networks with Distributed Delays

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.

• Qingqing Wang
• Shouming Zhong

• Neural networks
• Globally asymptotic stability
• LMI approach
• Distributed delays.

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