有向图非线性多代理系统的分布式故障估计观测器设计

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Yuhui Weng, Jianwei Liu, Huiwen Liu, Ruizhi Qin
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引用次数: 0

摘要

本文探讨了以有向图中的领导者-追随者结构为特征的非线性多代理系统中的故障估计问题。本文提出的方法首先是开发一种利用相对输出估计误差的分布式故障观测器。随后,构建动态误差系统,将故障估计问题转换为动态误差系统的稳定性问题。最后,以线性矩阵不等式的形式提出了实现动态误差系统渐近有界性的条件。仿真结果证明了所提方法的有效性,揭示了分布式故障观测器准确估计多代理系统中多个跟随者发生的故障的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed fault estimation observer design for nonlinear multi‐agent systems with directed graphs
This paper addresses the issue of fault estimation in nonlinear multi‐agent systems characterized by a leader–follower structure within directed graphs. The proposed approach begins by developing a distributed fault observer that utilizes relative output estimation error. Subsequently, a dynamic error system is constructed to convert the fault estimation problem into a stability problem for the dynamic error system. Finally, the conditions for achieving asymptotic boundedness of the dynamic error system are presented in the form of linear matrix inequalities. Simulation results substantiate the efficacy of the proposed method, revealing the ability of the distributed fault observer to accurately estimate faults occurring in multiple followers of the multi‐agent system.
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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