Bipartite Consensus Problem of Harmonic Oscillators Based on Sampled-data

被引：0

作者：

Tian, Hang ^{[1
]}

Liu, Cheng-Lin ^{[1
]}

Liu, Guang-Ye ^{[2
]}

机构：

[1] Jiangnan Univ, Inst Automat, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Jiangsu, Peoples R China

[2] Shanghai Keliang Informat Tech & Eng Co Ltd, Shanghai 200233, Peoples R China

来源：

PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年

基金：

中国国家自然科学基金;

关键词：

Bipartite consensus; Sampled-data coupled harmonic oscillators; Predictor factor; MULTIAGENT SYSTEMS; DYNAMICAL NETWORKS; SYNCHRONIZATION; INFORMATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is concerned with the bipartite consensus problem of sampled-data coupled harmonic oscillators by predictor factor under the fixed topology. Compared with the existing distributed protocol for synchronization in networks of coupled harmonic oscillators based on the sampled-data measurement, we propose a distributed bipartite consensus control protocol in which positive and negative interaction weights coexist. For structurally balanced networks, we improve the convergence rate of the network via predictor factor. Necessary and sufficient conditions are obtained for the well designed protocol to achieve bipartite consensus by using frequency-domain analysis and matrix theory. Finally, examples are shown to validate the convergence conditions.

引用

页码：1074 / 1079

页数：6

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