Global stability of Cohen-Grossberg neural networks with time-varying and distributed delays
Tao LI
Shumin FEI
Qing ZHU
摘要：In this paper,the global asymptotic stability is investigated for a class of Cohen-Grossberg neural networks with time-varying and distributed delays.By using the Lyapunov-Krasovskii functional and equivalent descriptor form of the considered system.several delay-dependent sufficient conditions are obmined to guarantee the asymptotic stability of the addressed systems.These conditions are dependent on both time-varying and distributed delays and presented in terms of LMIs and therefore,the stability criteria of such systems can be checked readily by resorting to the Matlab LMI toolbox.Finally,an example is given to show the effectiveness and less conservatism of the proposed methods.
机标关键词：distributed delaysglobal asymptotic stabilitysufficient conditionsneural networksMatlab LMIform of
资助基金：the National Natural Science Foundation of China(60574006)
论文发表日期：2008-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 449-454 )
英文信息