Lu Weifan, Yin Xiuxia, Fu Yichuan, Gao Zhiwei
The Department of Mathematics, School of Science, Nanchang University, Nanchang 330031, China.
The Faculty of Engineering and Environment, University of Northumbria at Newcastle, Newcastle upon Tyne NE1 8ST, UK.
Sensors (Basel). 2020 Nov 30;20(23):6866. doi: 10.3390/s20236866.
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.
本文研究了基于网络控制系统（NCSs）中基于静态观测器的事件触发预测控制的拒绝服务（DoS）攻击防御问题。首先，在网络带宽资源有限且系统状态不完全可观测的条件下，引入事件触发函数为观测器提供离散事件触发传输方案。然后，分析网络传输通道上发生的拒绝服务（DoS）攻击。利用上述事件触发方案，在控制节点上设计了一类新型预测控制算法，以主动节省网络带宽并补偿DoS攻击，从而确保NCSs的稳定性。同时，创建了一个用于分析的基于观测器的事件触发预测控制方案的闭环系统。通过线性矩阵不等式（LMI）和李雅普诺夫函数方法，建立了控制器、观测器和事件触发矩阵的设计，并分析了该方案的稳定性。结果表明，所提出的解决方案通过结合事件触发机制可以有效地补偿DoS攻击并节省网络带宽资源。最后，通过一个智能电网仿真示例验证了该方案防御DoS攻击的可行性和有效性。
