Adaptive distributed synchronization of heterogeneous multi-Agent systems over directed graphs with time-Varying edge weights *

被引：7

作者：

Yang, Qiyu ^{[1
]}

Lyu, Yi ^{[2
]}

Li, Xiaolei ^{[3
]}

Chen, Ci ^{[4
]}

Lewis, Frank L. ^{[5
]}

机构：

[1] Guangdong Univ Technol, Guangdong Key Lab IoT Informat Technol, Sch Automat, Guangzhou, Peoples R China

[2] Univ Elect Sci & Technol China, Zhongshan Inst, Sch Comp, Zhongshan, Peoples R China

[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore

[4] Lund Univ, Dept Automat Control, Lund, Sweden

[5] Univ Texas Arlington, UTA Res Inst, Ft Worth, TX USA

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2021年 / 358卷 / 04期

基金：

中国国家自然科学基金;

关键词：

COOPERATIVE OUTPUT REGULATION; CONSENSUS; NETWORK; DESIGN; AGENTS;

D O I：

10.1016/j.jfranklin.2021.01.018

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Time-varying edge weights represent dynamical interactions between any two nodes in multi-agent systems (MASs). In this paper, we consider a synchronization problem for heterogeneous MASs over directed graphs with time-varying edge weights from a control-theoretic perspective. We seek for an adaptive control protocol that drives the synchronization error in the presence of time-varying edge weights to converge in terms of asymptotic stability. We propose a class of observer networks for estimating leaders and output regulation equation solvers built on directed graphs with time-varying edge weights. Finally, we use a simulation study to verify the effectiveness of the proposed protocol. (c) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：2434 / 2452

页数：19

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