scholarly journals Observer-Based Dynamic Event-Triggered Robust H ∞ Control of Networked Control Systems Under DoS Attacks

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 145626-145637
Author(s):  
Ling Huang ◽  
Jing Guo ◽  
Bing Li
Author(s):  
Liruo Zhang ◽  
Sing Kiong Nguang ◽  
Shen Yan

This paper investigates the event-triggered H∞ control for networked control systems under the denial-of-service (DoS) attacks. First, a novel system model is established considering random, time-constraint DoS attacks. Second, an event-triggered scheme including an off-time is proposed to reduce the unnecessary occupation of network resources, with which a prescribed minimum inter-triggering time is guaranteed and Zeno problem is avoided. Third, sufficient conditions for the existence of an event-triggered controller which ensures the exponential stability of the closed-loop system with desired H∞ performance are formulated in linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed method is examined by two illustrative examples, where a real communication network based on the ZigBee protocol is utilized.


Automatica ◽  
2021 ◽  
Vol 129 ◽  
pp. 109587
Author(s):  
Chunyu Wu ◽  
Xudong Zhao ◽  
Weiguo Xia ◽  
Ji Liu ◽  
Tamer Başar

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6866
Author(s):  
Weifan Lu ◽  
Xiuxia Yin ◽  
Yichuan Fu ◽  
Zhiwei Gao

This paper studies the problem of DoS attack defense based on static observer-based event-triggered predictive control in networked control systems (NCSs). First, under the conditions of limited network bandwidth resources and the incomplete observability of the state of the system, we introduce the event-triggered function to provide a discrete event-triggered transmission scheme for the observer. Then, we analyze denial-of-service (DoS) attacks that occur on the network transmission channel. Using the above-mentioned event-triggered scheme, a novel class of predictive control algorithms is designed on the control node to proactively save network bandwidth and compensate for DoS attacks, which ensures the stability of NCSs. Meanwhile, a closed-loop system with an observer-based event-triggered predictive control scheme for analysis is created. Through linear matrix inequality (LMI) and the Lyapunov function method, the design of the controller, observer and event-triggered matrices is established, and the stability of the scheme is analyzed. The results show that the proposed solution can effectively compensate DoS attacks and save network bandwidth resources by combining event-triggered mechanisms. Finally, a smart grid simulation example is employed to verify the feasibility and effectiveness of the scheme’s defense against DoS attacks.


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