Global generalized exponential stability for a class of nonautonomous cellular neural networks via generalized Halanay inequalities

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• 作者：Binglong LuAuthor Vitae ; Haijun Jiang ; ^{jianghaijunxju@163.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Abdujelil AbdurahmanAuthor Vitae ; Cheng HuAuthor Vitae
• 关键词：Generalized exponential stability ; Cellular neural network ; Generalized Halanay inequality ; Unbounded time-varying delay
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：19 November 2016
• 年：2016
• 卷：214
• 期：Complete
• 页码：1046-1052
• 全文大小：772 K

文摘

This paper investigates a new type of stability, namely global generalized exponential stability of the nonautonomous delayed cellular neural networks. Several novel delay-dependent sufficient conditions are established by applying a new generalized Halanay inequality. In these conditions, the boundedness of time-varying delays and coefficients are not required. In addition, the effectiveness of these conditions is illustrated by two numerical examples.