Event-triggered nonfragile predictive control for networked control system with redundant channels

被引:0
|
作者
Zhao, Hairui [1 ,2 ]
Chen, Dongyan [1 ,2 ,4 ]
Hu, Jun [2 ,3 ]
机构
[1] Harbin Univ Sci & Technol, Dept Math, Harbin, Peoples R China
[2] Harbin Univ Sci & Technol, Heilongjiang Prov Key Lab Optimizat Control & Inte, Harbin, Peoples R China
[3] Harbin Univ Sci & Technol, Sch Automat, Harbin, Peoples R China
[4] Harbin Univ Sci & Technol, Dept Math, Harbin 150080, Peoples R China
基金
中国国家自然科学基金; 黑龙江省自然科学基金;
关键词
Event-triggered mechanism; networked control system; redundant channels; predictive control; mean-square exponential stability; INFINITY STATE ESTIMATION; NEURAL-NETWORKS; FEEDBACK-CONTROL; TIME; STABILIZATION; DELAYS;
D O I
10.1177/01423312231168454
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with the nonfragile predictive control problem for the networked control system (NCS) with input delay and network-induced time delays (NITDs). First, the transmission strategy governed by redundant channels is introduced to reduce the occurrence of data packet dropout between the sensor and the observer. Moreover, the event-triggered mechanism (ETM) is employed to save the network resources, where the maximum triggered interval is given. Subsequently, a nonfragile networked predictive control scheme (NPCS) is designed to address the input delay and the NITDs. Accordingly, the sufficient criterion ensuring mean-square exponential stability (MSES) is derived by employing the Lyapunov-Krasovskii stability theorem. Both the observer gain matrix (OGM) and the controller gain matrix (CGM) are gained through solving the nonlinear minimization problem with convex constraints. Finally, a simulation example is utilized to demonstrate the usefulness of the proposed main results.
引用
收藏
页码:58 / 69
页数:12
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