Stability Analysis for Model-Based Event-Triggered Nonlinear Control Systems Under DoS Attacks

IEEE Transactions on Control of Network Systems(2023)

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摘要
In this article, we study the stability of a novel nonlinear event-triggered control system under denial-of-service (DoS) attacks based on an input-to-state stable Lyapunov function analysis. A new dual-mode model-based event-triggering strategy is proposed which works based on consistency between the approximate and exact discretization of the nonlinear plant. We combine an event-triggered module with a controller based on the state prediction, together with a packetized transmission at the controller-to-actuator channel to provide the desired stability properties under DoS attacks. We also provide proof of Zeno-free behavior for the event-based system. Our proposed method provides a maximum percentage of time that the system can tolerate attacks without performance degradation. Finally, a numerical example is used to illustrate the effectiveness of the proposed approach.
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关键词
Control systems,Predictive models,Mathematical models,Computational modeling,Cyberattack,Actuators,Stability criteria,Cybersecurity,denial-of-service (DoS) attack,event-triggered control,networked control systems,stability of nonlinear system
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