Tracking control for polynomial fuzzy networked systems with repeated scalar nonlinearities

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• 作者：Ziran Chen^a ; ^{chenziran0719@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Baoyong Zhang^b ; ^{baoyongzhang@njust.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Hongyi Li^c ; ^{lihongyi2009@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Jianjiang Yu^d ; ^{15151001567@126.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Networked systems ; Polynomial fuzzy model ; Repeated scalar nonlinearities ; Data packet dropouts ; Signal quantization ; H&infin ; H&infin ; control
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：1 January 2016
• 年：2016
• 卷：171
• 期：Complete
• 页码：185-193
• 全文大小：781 K

文摘

This paper investigates the tracking control problem for nonlinear networked systems with repeated scalar nonlinearities. A polynomial fuzzy model based approach is employed to model the nonlinear systems. A polynomial fuzzy controller is designed to drive the system states to follow those of a given reference model. Imperfect communication links with two typical phenomenons (i.e., data packet dropout and signal quantization) are taken into account. Sufficient conditions are obtained in terms of sum of squares, which guarantee the stochastic stability and H_∞$H_{\infty }$ performance constraint. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.