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Dynamics analysis of a class of planar systems with time-varying delays

机译:一类具有时变时滞的平面系统的动力学分析

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摘要

This paper formulates and studies a model of planar systems. The model can well describe many practical architectures of delayed neural networks, which is generalization of some existing neural networks under a time-varying environment. Without assuming the smoothness, monotonicity and boundedness of the activation functions, the existence and global exponential stability of its periodic solutions are investigated. Some explicit and conclusive results are established. Our approach is based on the continuation theorem of the coincidence degree, a priori estimates, and differential inequalities. (c) 2005 Elsevier Ltd. All rights reserved.
机译:本文提出并研究了平面系统模型。该模型可以很好地描述延迟神经网络的许多实用架构,这是时变环境下一些现有神经网络的概括。在不假设激活函数具有光滑性,单调性和有界性的情况下,研究了其周期解的存在性和全局指数稳定性。建立了一些明确和结论性的结果。我们的方法基于重合度,先验估计和微分不等式的连续定理。 (c)2005 Elsevier Ltd.保留所有权利。

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