具時延的細(xì)胞神經(jīng)網(wǎng)絡(luò)的全局漸近穩(wěn)定性分析
GLOBAL ASYMPOTOTIC STABILITY ANALYSIS OF DELAYED CELLULAR NEURAL NETWORKS
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摘要: 本文通過Lyapunov泛函方法和新的不等式a2b(2a3+b3)/3,(a,b0)分析技巧,討論了一類具時延的細(xì)胞神經(jīng)網(wǎng)絡(luò)DCNN全局漸近穩(wěn)定性問題,得到了若干新的充分判據(jù),這些判據(jù)可用于設(shè)計出各種全局穩(wěn)定的網(wǎng)絡(luò)。Abstract: This paper analyses further global asympototic stability of a class of delayed cellular neural networks by means of Lyapunov functional method and new inequality a2b(2a3+b3)/3, (a,b0) analysis technique, and some new sufficient criteria are obtained. These criteria are of theoretical and applicable important significance in the design of globally stable networks.
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