Consensus seeking via iterative learning for multi-agent systems with switching topologies and communication time-delays-Reference-Cited by-同舟云学术

Consensus seeking via iterative learning for multi-agent systems with switching topologies and communication time-delays

Published:2016-03-02 Issue:17 Volume:26 Page:3772-3790
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int. J. Robust. Nonlinear Control

Author:

Meng Deyuan¹²,Jia Yingmin¹²,Du Junping³

Affiliation:

1. The Seventh Research Division; Beihang University (BUAA); Beijing 100191 China

2. School of Automation Science and Electrical Engineering; Beihang University (BUAA); Beijing 100191 China

3. Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, School of Computer Science and Technology; Beijing University of Posts and Telecommunications; Beijing 100876 China

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/rnc.3534/fullpdf

Reference34 articles.

1. An overview of recent progress in the study of distributed multi-agent coordination;Cao;IEEE Transactions on Industrial Informatics,2013

2. Group consensus control for double-integrator dynamic multiagent systems with fixed communication topology;Feng;International Journal of Robust and Nonlinear Control,2014

3. Consensus of second-order multi-agent systems with delayed nonlinear dynamics and intermittent communications;Wen;International Journal of Control,2013

4. Consensus strategy for a class of multi-agents with discrete second-order dynamics;Qin;International Journal of Robust and Nonlinear Control,2012

5. A new class of finite-time nonlinear consensus protocols for multi-agent systems;Zuo;International Journal of Control,2014

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