Global exponential stability for impulsive cellular neural networks with discrete and distributed time-varying delays
2008 International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA 2008（2008）
摘要
In this paper, the global exponential stability for a class of impulsive cellular neural networks with discrete and distributed time-varying delays is considered. The results are based on the Lyapunov-Krasovskii functional stability analysis for differential equations and the linear matrix inequality (LMI) optimization approach. Some numerical examples are given to show the effectiveness of our results. ©2008 IEEE.
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关键词
delays,global exponential stability,impulsive cellular neural networks,linear matrix inequality (lmi),numerical stability,asymptotic stability,cellular neural networks,data mining,differential equations,artificial neural networks,stability analysis
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