不涉及可行性条件的网络系统分布式保证性能一致性：一种层次算法

IF 7.9 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-03-07 DOI:10.1109/TNSE.2025.3548313

Lei Chen;Hongjing Liang;Xilin Zhang;Tieshan Li

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引用次数: 0

摘要

本文利用层次算法研究了通信故障下多智能体系统的分布式保证性能一致性问题。该算法将一致性问题转化为相邻层智能体的跟踪问题，并且跟踪误差的约束范围不依赖于通信拓扑的拉普拉斯矩阵。与现有的分层算法相比，设计了一种容错补偿方法来解决agent间的通信故障。根据拓扑权重的物理意义重新定义了分层规则，提高了划分结果的合理性。此外，在常规的规定性能控制方法中设计了移位函数，消除了现有的可行性条件。基于李雅普诺夫理论，导出了闭环系统中所有信号有界的充分条件。最后，通过两个仿真实例验证了该方案的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Distributed Guaranteed-Performance Consensus of Networked Systems Without Involving the Feasibility Condition: A Hierarchical Algorithm

This paper utilizes a hierarchical algorithm to focus on the distributed guaranteed-performance consensus problem of multiagent systems subjected to communication faults. With this algorithm, the consensus problem can be transformed into the tracking problem of agents in adjacent layers, and the constraint range for tracking errors does not depend on the Laplacian matrix of the communication topology. Compared to the existing hierarchical algorithm, a fault-tolerant compensation approach is designed to solve the communication fault between agents. Furthermore, the hierarchical rules are redefined according to the physical significance of topological weights, which enhances the rationality of the partition results. In addition, a shifting function is designed and incorporated into the conventional prescribed performance control approach to eliminate the existing feasibility condition. Based on Lyapunov theory, the sufficient conditions for the boundedness of all signals in the closed-loop system are derived. Finally, two simulation examples verify the efficacy of the scheme.

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.