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Event-Triggered Distributed State Estimation for Multiagent Systems Under DoS Attacks
DOI:10.1109/TCYB.2020.3034456.png)
摘要
En 中文
This article investigates the problem of event-triggered distributed state estimation for linear multiagent systems under denial-of-service (DoS) attacks. In contrast to the previous studies where the agents have access to the measurements of their own states, an estimation algorithm is provided based on the measurements relative to the adjacent agents, and the considered DoS attacks jam each channel independently while the attack durations are constrained. To estimate the states and effectively schedule the information transmissions over the network possibly subject to malicious attacks, a prediction-based switching observer scheme with an event-triggered communication strategy is proposed, and the invalidation problem of the event-triggering mechanism caused by the DoS attacks is solved. Based on the decay rates of the Lyapunov function corresponding to different transmission modes, sufficient conditions for the stability of the estimation error dynamics are presented in the presence of DoS attacks. Finally, the effectiveness of the proposed strategy is demonstrated by simulation results.
Keyword:
Denial-of-service attack
Observers
Switches
Security
Multi-agent systems
Estimation error
Sun
Denial-of-service (DoS) attacks
distributed state estimation
event-triggered strategy
multiagent systems (MASs)
AI总结
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期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
机构
引用论文
Observer-Based Control for Cyber-Physical Systems Under Denial-of-Service With a Decentralized Event-Triggered Scheme具有分散事件触发方案的拒绝服务下基于观察者的网络物理系统控制
Distributed secure state estimation for cyber-physical systems under sensor attacks面向传感器攻击的网络物理系统分布式安全状态估计
AUTOMATICA
IF5.9
Robust event-triggered model predictive control for cyber-physical systems under denial-of-service attacks拒绝服务攻击下网络物理系统的鲁棒事件触发模型预测控制

