恶意网络攻击下异构群系统的主动弹性安全控制

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Yishi Liu;Xiwang Dong;Enrico Zio;Ying Cui
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引用次数: 0

摘要

本文研究了异构群系统在恶意网络攻击下的主动弹性编队跟踪控制策略的设计。攻击信号随机注入致动器和传感器,利用基于观测器的攻击估计方案对攻击信号进行检测和估计。利用群体中个体的妥协测量输出来设计分布式安全控制协议和基于共识的形成条件。对于每个跟随器,设计了一个补偿器,采用近似模型跟随策略解决HSS的安全队形跟踪问题。利用事件触发技术实现时变队形和对leader的跟踪,节约了实际通信资源。最后,对具有三种不同动态节点的异构群系统进行了大量仿真,验证了所提安全方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
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.
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