Almost surely asymptotic stability of neutral stochastic neural networks with multiple time-varying delays

Mechanic Automation and Control Engineering（2011）

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摘要

In this paper, we study the almost surely asymptotic stability of neutral stochastic neural networks with multiple time-varying delays. By using Lyapunov-Krasovskii and linear matrix inequality approach, we obtain some sufficient conditions to ensure the stability of neutral stochastic neural networks. The results are show to be generalizations of some previously published results and are less conservative than existing results.

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关键词

almost surely asymptotic stability,neutral stochastic neural networks,neurocontrollers,stochastic systems,asymptotic stability,lyapunov-krasovskii approach,neutral stochastic neural network,multiple time-varying delays,linear matrix inequality,lyapunov functional,linear matrix inequalities,lyapunov methods,lyapunov function,neural network

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