文献类型：期刊文献

英文题名：Bipartite Consensus Under Measurement Disturbance: A Reset Control Approach for Clustered Signed Networked Systems

作者：Liang, Haili[1];Cai, Lezhou[1];Zhou, Hu[1];Zhou, Zhao[2]

机构：[1]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200444, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2025

卷号：19

期号：4

起止页码：1304

外文期刊名：IEEE SYSTEMS JOURNAL

收录：;EI(收录号：20260119856295);WOS:【SCI-EXPANDED(收录号:WOS:001667793400028)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62373153, Grant 62394345, Grant 62336005, and Grant 61703261, in part by the China Scholarship Council, and in part by the Open Research Project of the State Key Laboratory of Industrial Control Technology of China under Grant ICT2024B67.

语种：英文

外文关键词：Noise; Noise measurement; Topology; Network topology; Protocols; Vehicle dynamics; Multi-agent systems; Laplace equations; Gain measurement; Directed graphs; Bipartite consensus; measurement noise; multiagent systems (MASs); reset control; signed networks

摘要：This article investigates the problem of bipartite consensus in multiagent systems with measurement noise over signed networks under reset control. Unlike existing studies that focus on noise-free or nonsigned network scenarios, agents are organized into multiple clusters with intra- and intercluster communications governed by distinct digraphs, where the intercluster topology is modeled by a structurally balanced signed digraph. We propose a novel hybrid protocol combining continuous-time dynamics within clusters and discrete-time interactions among cluster leaders. Under the assumption that each cluster forms a nonnegative connected digraph with a directed spanning tree, the overall system achieves stochastic stability via continuous-time dynamics. To mitigate the impact of measurement noise within clusters, a time-varying consensus-gain function is introduced. By leveraging Ito's formula, linear matrix inequalities, and gauge transformations, we establish sufficient conditions for achieving mean-square bipartite quasi-synchronization under measurement noise and global bipartite consensus in its absence. The final consensus state depends on initial conditions and intracluster/intercluster topologies. Numerical simulations validate the theoretical results.