Observer memory-based event-triggered predictive control for networked control systems under DoS attacks

被引：0
|
作者：
Lu W.-F. [1 ]
Yin X.-X. [1 ]
机构：
[1] The Department of Mathematics, School of Science, Nanchang University, Jiangxi, Nanchang
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2022年 / 39卷 / 07期
基金：
中国国家自然科学基金;
关键词：
DoS attacks; memory-based event-triggered control; networked control systems; predictive control;
D O I：
10.7641/CTA.2022.10645
中图分类号：
学科分类号：
摘要：
In this paper, we study the memory-based event-triggered predictive control of networked control systems (NCSs) under DoS attacks. First, due to the limited network bandwidth resources and incomplete observability of the system state, a memory-based event-triggered function is introduced to provide a discrete event-triggered transmission scheme for the observer. Then, the DoS attacks occurring on the network transmission channel are analyzed. Combining the above memory-based event-triggering scheme, a novel class of predictive control algorithms is designed at the control node to save the network bandwidth resources and actively compensate for DoS attacks. Meanwhile, a closed-loop system of observer memory-based event-triggered predictive control is established and analyzed for stability. The design scheme of controller, observer and memory-based event-triggered matrix is established by linear matrix inequality (LMI) and Lyapunov stability theory, and the feasibility of the scheme is analyzed. The simulation results show that the scheme combined with the memory-based event-triggered mechanism can effectively compensate for the DoS attacks and save the network bandwidth resources. © 2022 South China University of Technology. All rights reserved.
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页码：1335 / 1344
页数：9
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