Leader-Following Cluster Consensus of Multiagent Systems With Measurement Noise and Weighted Cooperative-Competitive Networks

被引：11

作者：

Ma, Cui-Qin ^{[1
]}

Liu, Tian-Ya ^{[2
]}

Kang, Yu ^{[3
]}

Zhao, Yun-Bo ^{[3
]}

机构：

[1] Qufu Normal Univ, Sch Math Sci, Qufu 273165, Shandong, Peoples R China

[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China

[3] Univ Sci & Technol China, Dept Automat, Hefei 230052, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2023年 / 53卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Protocols; Noise measurement; Weight measurement; Laplace equations; Topology; Multi-agent systems; Graph theory; Cluster consensus; leader-following; measurement noise; multiagent systems (MASs); weighted cooperative-competitive networks; SUFFICIENT CONDITIONS; TOPOLOGY; SEEKING;

D O I：

10.1109/TSMC.2022.3193915

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Leader-following cluster consensus is investigated for multiagent systems with weighted cooperative-competitive networks and measurement noise. A stochastic approximation protocol is proposed for interactively balanced and sub-balanced networks, and pinning control is introduced to deal with the divergence phenomenon in interactively unbalanced networks. With these protocols, sufficient conditions for reaching a strong mean-square leader-following cluster consensus are established for all the three types of networks, which are also extended to the cases without measurement noise. Numerical examples illustrate the effectiveness of the proposed protocols and theoretical analysis.

引用

页码：1150 / 1159

页数：10

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