Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks
By Songlin Hu, Dong Yue, Qing-Long Han, Xiangpeng Xie, Xiaoli Chen, C. Dou. IEEE Transactions on Cybernetics, 2020
303 citations recorded by the source corpus.
This paper is concerned with the observer-based event-triggered control for a continuous networked linear system subject to denial-of-service (DoS) attacks, where the attacks are launched periodically to block the data transmission in control channels. First, a new observer state-based resilient event-triggering scheme is developed in the presence of DoS attacks. Second, a novel event-based switched system model is established by considering the effect of the event-triggering scheme and DoS attacks simultaneously. By virtue of this new model combined with a piecewise Lyapunov–Krasovskii functional method, the sufficient conditions are derived to guarantee exponential stability of the resulting switched system. It is shown that the proposed results can establish a quantitative relationship among the launching/sleeping periods of the attacks, the event-triggering parameters, the sampling period, and the exponential decay rate. Third, criteria for designing a desired observer-based event-triggered controller are provided and expressed in terms of a set of linear matrix inequalities. Finally, an offshore structure model is presented to illustrate the efficiency of the developed control method.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/db0ca3ec5281def2028faef669b1e9c13a0e59b8
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In Control and Systems Engineering
Citations in the corpus
- Secure State Estimation and Control of Cyber-Physical Systems: A Survey (2021, methodology): “Such an event-triggered scheduling scheme is improved by integrating measurement variations with a minimal trigger sleeping interval in order to avoid the well-known Zeno behavior [44], [54].”