基于加密-解密的多代理系统分布式容错共识跟踪控制。

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Yiliu Liu , Chun Liu , Xiaofan Wang , Jianglin Lan , Xiaoqiang Ren
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引用次数: 0

摘要

本研究探讨了离散时间多代理系统(MAS)的容错共识跟踪问题,该系统受到外部窃听威胁和执行器故障的影响。首先,通过差分方程对执行器故障进行建模,并构建分散式观测器来估计执行器故障和系统状态。为了抵消故障引起的影响、确保通信安全并缓解通信拥塞,基于加密解密策略(EDS)和故障估计的相邻加密状态信息被集成到分布式主动容错共识跟踪控制(FCTC)协议中。通过兼容规范的特性,得出了 EDS 中控制器、观测器和动态加密密钥的标准,以实现具有偏差和漂移致动器故障的 MAS 的领导者-跟随共识(LFC)。仿真结果证实了基于加密-解密的分布式 FCTC 策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Encryption–decryption-based distributed fault-tolerant consensus tracking control for multi-agent systems
This study investigates fault-tolerant consensus tracking for discrete-time multi-agent systems (MASs) subject to external eavesdropping threats and additive actuator faults. First, actuator faults are modeled by difference equations, and decentralized observers are constructed to estimate actuator faults as well as system states. To offset fault-induced effects, ensure secure communication, and alleviate communication congestion, neighboring encrypted state information based on the encryption–decryption strategy (EDS) and estimated fault are integrated into a distributed active fault-tolerant consensus tracking control (FCTC) protocol. Through the properties of compatible norms, criteria for the controller, observer, and dynamic encryption key in EDS are derived to achieve leader-following consensus (LFC) of MASs with bias and drift actuator faults. Simulation results confirm the validity of the encryption–decryption-based distributed FCTC strategy.
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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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