Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays
作者： Yuanfu Shao , Changjin Xu , Qianhong Zhang
DOI: 10.1155/2012/358362
关键词:
摘要: By using Schaeffer's theorem and Lyapunov functional, sufficient conditions of the existence globally exponential stability positive periodic solution to an impulsive neural network with time-varying delays are established. Applications, examples, numerical analysis given illustrate effectiveness main results.
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