Secure State Estimation for Multiagent Systems With Faulty and Malicious Agents

被引:48
|
作者
Lu, An-Yang [1 ]
Yang, Guang-Hong [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-agent systems; State estimation; Observability; Resilience; Switches; Cyber-physical systems; Nickel; Faulty and malicious agents; misbehaving agents; multiagent systems; secure state estimation; static batch optimization; switched gradient descent (SGD) algorithm; CYBER-PHYSICAL SYSTEMS; CONSENSUS PROBLEMS; OBSERVERS; TOPOLOGY; ACTUATOR;
D O I
10.1109/TAC.2019.2945032
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the secure state estimation problem of multiagent systems with misbehaving agents. Compared with the existing works which only consider malicious behaviors generated elaborately, a class of faulty behaviors generated randomly is also taken into account. By assuming that faulty behaviors cannot be altered by the adversaries, the notion of orthogonal complement matrix is introduced to characterize the state observability of the multiagent systems with both faulty and malicious agents. It is shown that more misbehaving agents can be tolerated by distinguishing faulty agents from malicious ones. Then, for single agent, two algorithms are provided to estimate the state based on its own value and the measurements obtained from its neighbors. Finally, two simulations are provided to illustrate the correctness and effectiveness of the proposed conditions and methods.
引用
收藏
页码:3471 / 3485
页数:15
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