{"title":"恶意网络攻击下异构群系统的主动弹性安全控制","authors":"Yishi Liu;Xiwang Dong;Enrico Zio;Ying Cui","doi":"10.1109/TSMC.2025.3580940","DOIUrl":null,"url":null,"abstract":"This article concentrates on the design of an active resilient formation tracking control strategy for heterogeneous swarm systems (HSS) under malicious cyber-attacks. The attack signals, which are injected into both actuator and sensor randomly, can be detected and estimated by using an observer-based attack estimation scheme. The compromised measured outputs of individuals in the swarm are used to design the distributed secure control protocol and the consensus-based formation condition. For each follower, a compensator is designed to address the secure formation tracking problem for HSS using an approximate model following strategy. Moreover, the event-triggered technique is utilized to achieve the time-varying formation and to track the leader, and saves the communication resource in practice. Finally, a numerous simulation for a heterogeneous swarm system with three different dynamics nodes is presented to verify the effectiveness of the proposed secure approach.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7195-7204"},"PeriodicalIF":8.7000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Active Resilient Secure Control for Heterogeneous Swarm Systems Under Malicious Cyber-Attacks\",\"authors\":\"Yishi Liu;Xiwang Dong;Enrico Zio;Ying Cui\",\"doi\":\"10.1109/TSMC.2025.3580940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article concentrates on the design of an active resilient formation tracking control strategy for heterogeneous swarm systems (HSS) under malicious cyber-attacks. The attack signals, which are injected into both actuator and sensor randomly, can be detected and estimated by using an observer-based attack estimation scheme. The compromised measured outputs of individuals in the swarm are used to design the distributed secure control protocol and the consensus-based formation condition. For each follower, a compensator is designed to address the secure formation tracking problem for HSS using an approximate model following strategy. Moreover, the event-triggered technique is utilized to achieve the time-varying formation and to track the leader, and saves the communication resource in practice. Finally, a numerous simulation for a heterogeneous swarm system with three different dynamics nodes is presented to verify the effectiveness of the proposed secure approach.\",\"PeriodicalId\":48915,\"journal\":{\"name\":\"IEEE Transactions on Systems Man Cybernetics-Systems\",\"volume\":\"55 10\",\"pages\":\"7195-7204\"},\"PeriodicalIF\":8.7000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Systems Man Cybernetics-Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11074760/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Systems Man Cybernetics-Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11074760/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Active Resilient Secure Control for Heterogeneous Swarm Systems Under Malicious Cyber-Attacks
This article concentrates on the design of an active resilient formation tracking control strategy for heterogeneous swarm systems (HSS) under malicious cyber-attacks. The attack signals, which are injected into both actuator and sensor randomly, can be detected and estimated by using an observer-based attack estimation scheme. The compromised measured outputs of individuals in the swarm are used to design the distributed secure control protocol and the consensus-based formation condition. For each follower, a compensator is designed to address the secure formation tracking problem for HSS using an approximate model following strategy. Moreover, the event-triggered technique is utilized to achieve the time-varying formation and to track the leader, and saves the communication resource in practice. Finally, a numerous simulation for a heterogeneous swarm system with three different dynamics nodes is presented to verify the effectiveness of the proposed secure approach.
期刊介绍:
The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.