Delay-dependent H_∞ synchronization for chaotic neural networks with network-induced delays and packet dropouts

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• 作者：Yichun NiuAuthor Vitae ; Li Sheng ; ^{victory8209@163.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Weibo WangAuthor Vitae
• 关键词：Chaotic neural networks ; H&infin ; H&infin ; synchronization ; Network-induced delays ; Packet dropouts
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：19 November 2016
• 年：2016
• 卷：214
• 期：Complete
• 页码：7-15
• 全文大小：1547 K

文摘

This paper investigates the problem of lick to view the MathML source">H_∞$H_{\infty }$ synchronization for chaotic neural networks with network-induced delays and packet dropouts. A novel master–slave synchronization scheme is established where the network-induced delays and data packet dropouts are taken into consideration. By constructing the Lyapunov functional and employing the Wirtinger-based integral inequality, several delay-dependent conditions are obtained to guarantee that the error system is globally asymptotically stable and satisfies a prescribed lick to view the MathML source">H_∞$H_{\infty }$ performance constraint. Finally, two numerical examples are presented to validate the feasibility and effectiveness of the results derived.