Analysis of Global Asymptotic Stability and Pseudo Almost Periodic Solution of a Class of Chaotic Neural Networks
MATHEMATICAL MODELLING AND ANALYSIS(2013)
摘要
In this paper we give sufficient conditions ensuring the existence and uniqueness of pseudo almost periodic solution of a class of delayed chaotic neural networks. Further, we study the global asymptotic stability (GAS) of the considered model and give a set of criteria on (GAS) by constructing new Lyapunov functional.
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关键词
almost periodic functions,mathematical model,neural networks,contraction mapping principle,delay
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