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A Linear Matrix Inequality Approach to Global Synchronization of Multi-Delay Hopfleld Neural Networks with Parameter Perturbationse
並列摘要
In this paper, a successful linear matrix inequality (LMI) approach is used to analyze multi-time-delay Hopfield neural networks with parameter perturbations by constructing an appropriate Lyapunov-Krasovskii functional. Two novel delay-dependent criteria for asymptotic stability of the multi-time-delay Hopfield neural networks are given by the Lyapunov method combined with the LMI framework. This comprehensive discussion of the situation also includes extensive applications.
並列關鍵字
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