Predictive control of nonlinear continuous networked control systems with large time-varying transmission delays and transmission protocols

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• 作者：Xi-Ming Sun^a ; ¹ ; ^{sunxm@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Kun-Zhi Liu^a ; ^{kunzhiliu1989@163.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Changyun Wen^b ; ^{ecywen@ntu.edu.sg" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Wei Wang^a ; ^{wangwei@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Networked control systems ; Large transmission delays ; Transmission protocols ; Predictive control
• 刊名：Automatica
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：64
• 期：Complete
• 页码：76-85
• 全文大小：717 K

文摘

In this paper, we consider a class of globally Lipschitz nonlinear continuous networked control systems (NCS) incorporating large time-varying transmission delays and transmission protocols of communication networks with periodic sampling. To stabilize the NCS, we propose a new predictive control design scheme with plant outputs as the only available data. With uniformly globally exponentially stable (UGES) protocols, input-to-state stability of the entire NCS is ensured by small gain theory. In particular, the predictive controller can compensate transmission delays with any finite upper bound under the constraint that the sampling periods of the plant output and the observer output are small enough as well as the constraint that the predictor is accurate enough. The scheme is applied to a benchmark example to illustrate the effectiveness of our proposed method.