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

被引:0
|
作者
Nazarzadeh, Amin [1 ]
Ghodrat, Mohsen [1 ]
Marquez, Horacio J. [1 ]
机构
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton T6G 1H9, AB, Canada
来源
基金
加拿大自然科学与工程研究理事会;
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; NETWORKED CONTROL-SYSTEMS; SAMPLED-DATA SYSTEMS; DISCRETE-TIME; RESILIENT CONTROL; STABILIZATION;
D O I
10.1109/TCNS.2023.3264937
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:2130 / 2140
页数:11
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