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Stability Analysis for Model-Based Event-Triggered Nonlinear Control Systems Under DoS Attacks
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DOI：10.1109/TCNS.2023.3264937.png)
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Abstract
En 中文
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.
Keywords:
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
Journal
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5
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1.6K
Citations:
5.8K