Time-varying formation control for heterogeneous multi-agent systems in the presence of actuator faults and deception attacks

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Shicheng Cao , Yanhui Yin , Wenyu Li , Zhongxin Liu , Zengqiang Chen
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引用次数: 0

Abstract

This paper explores the control of time-varying formations in a class of heterogeneous multi-agent systems. The key innovation lies in the simultaneous consideration of hybrid actuator faults and deception attacks. To achieve the control objective, a novel distributed double-layer control scheme, comprising a network layer and a physical layer, is proposed. In the network layer, a distributed observer with secure output feedback control is developed to mitigate severe deception attacks, ensuring that the mean square observer error remains within an acceptable range. In the physical layer, fault compensators are designed to address both additive and multiplicative faults. As a result, the followers achieve time-varying formation control, and closed-loop stability analysis is conducted using the Lyapunov method. Finally, to verify the validity of the theoretical findings, numerical simulations are subsequently conducted.
存在执行器故障和欺骗攻击的异构多智能体系统时变编队控制。
研究了一类异构多智能体系统中时变编队的控制问题。关键创新在于同时考虑执行器混合故障和欺骗攻击。为了实现控制目标,提出了一种由网络层和物理层组成的分布式双层控制方案。在网络层,开发了具有安全输出反馈控制的分布式观测器,以减轻严重的欺骗攻击,确保观测器的均方误差保持在可接受的范围内。在物理层,故障补偿器设计用于处理加性和乘性故障。使follower实现时变群体控制,并采用Lyapunov方法进行闭环稳定性分析。最后,为了验证理论结果的有效性,进行了数值模拟。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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