Global synchronization of Multi-delay Hopfield neural networks

Guoliang Cai, Haijian Shao, Qin Yao · 2011

In this paper, a successful LMI (linear matrix inequality) approach is used to analyze MDHNNs(Multi-time-delay Hopfield neural networks) with parameter perturbations by constructing an appropriate Lyapunov-Krasovskii functional. Two novel delay-dependent criterions for asymptotic stability of the MDHNNs were given by the Lyapunov method combining with LMI framework. This comprehensive discussion of the situation also includes extensive applications.

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