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Global Exponential Stability of a Class of Neural Networks with Delays 被引量:2

Global Exponential Stability of a Class of Neural Networks with Delays
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摘要 This paper is concerned with the stability of neural networks with time-varying delays. Under assumption that the nonlinear stimulate functions are Lipschitz continuous, by means of generalized Halanay inequalities, Dini's derivative and functional analysis techniques, several globally exponential stability criteria are established, which are only dependent on the parameters of the system. This paper is concerned with the stability of neural networks with time-varying delays. Under assumption that the nonlinear stimulate functions are Lipschitz continuous, by means of generalized Halanay inequalities, Dini's derivative and functional analysis techniques, several globally exponential stability criteria are established, which are only dependent on the parameters of the system.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2009年第1期43-50,共8页 应用数学学报(英文版)
基金 Supported by Science and Technology Plan Project of Guangzhou(2006J1-C0341)
关键词 Neural network Halanay's inequality DELAY globally exponential stability Neural network Halanay's inequality delay globally exponential stability
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