Distributed Estimation and Motion Control in Multi-Agent Systems Under Multiple Attacks

作     者：Jenabzadeh, Ahmadreza Shu, Zhan Huang, Tingwen Zhu, Quanmin Shang, Yilun Cui, Yukang 

作者机构：Shenzhen University College of Mechatronics and Control Engineering Shenzhen518060 China Peng Cheng Laboratory Shenzhen518000 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China University of the West of England School of Engineering BristolBS16 1QY United Kingdom Northumbria University Faculty of Engineering and Environment Department of Computer and Information Sciences Newcastle upon TyneNE1 8ST United Kingdom 

出 版 物：《IEEE Transactions on Automation Science and Engineering》 (IEEE Trans. Autom. Sci. Eng.)

年 卷 期：2025年第22卷

页      面：12548-12559页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported in part by the National Natural Science Foundation of China under Grant 61903258  in part by Guangdong Basic and Applied Basic Research Foundation under Grant 2024A1515030153  in part by the Project of Department of Education of Guangdong Province under Grant 2022KTSCX105 and Grant 2023ZDZX4046  in part by Shenzhen Natural Science Fund (Stable Support Plan Program) under Grant 20231122121608001  and in part by Shenzhen-Hong Kong-Macau Technology Research Programme under Grant SGDX20230821091559019 

主　　题：Multi agent systems 

摘      要：This paper addresses the problem of distributed estimation and motion control (DEMC) in multi-agent systems (MASs) with both linear and Lipschitz nonlinear dynamics. Unlike conventional DEMC methods designed for MASs under ideal conditions, this work investigates scenarios where all agents are vulnerable to various forms of attacks. The considered attacks comprise false-data injection (FDI) attacks and denial of service (DoS) attacks that affect the communication channels among agents to destabilize the MAS. Also, the unbounded actuator attacks which exist in practical environments to intentionally degrade the MAS performance is considered. To cope with these kinds of attacks, two novel resilient approaches are established aimed at estimating and following a mobile target under attacks. The proposed distributed attack-resilient control strategies are designed based on a dual-layer structure, guaranteeing effective DEMC with an ultimately bounded error. The results from two simulation examples are provided to validate the presented algorithms. © 2004-2012 IEEE.