Pseudo Almost Periodic Solutions for High-Order Hopfield Neural Networks with Time-Varying Leakage Delays

作者: Changjin Xu , Peiluan Li

DOI: 10.1007/S11063-016-9573-3

关键词: Complex systemComputational intelligenceHopfield networkExponential stabilityMathematicsControl theoryLyapunov functionalArtificial neural networkLeakage (electronics)Applied mathematicsSet (abstract data type)

摘要: In this paper, high-order Hopfield neural networks with time-varying leakage delays are investigated. By applying Lyapunov functional method and differential inequality techniques, a set of sufficient conditions obtained for the existence exponential stability pseudo almost periodic solutions model. Some simulations carried out to support theoretical findings. Our results improve generalize those previous studies.

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