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Author:

Wang, Jing (Wang, Jing.) | Peng, Yong (Peng, Yong.) | Dou, Liya (Dou, Liya.)

Indexed by:

EI

Abstract:

This paper investigates the mean square bipartite consensus problem of a multi-agent system with considering measurement noises and communication time-delays. And the interaction topology of the multi-agent system (MAS) is a signed digraph. The convergence of the proposed bipartite consensus protocol with both noisy measurements and uniform communication time-delays is analyzed. Sufficient conditions on the upper bound of the time-delays are first derived to guarantee the mean square bipartite consensus for the signed digraph which is structurally balanced and has a spanning tree. Then for the signed digraph which is structurally unbalanced and strongly connected, the states of all agents achieve zero in the mean square sense under the given conditions. Finally, numerical simulation examples are provided to illustrate the obtained theoretical results. © 2021, ICROS, KIEE and Springer.

Keyword:

Multi agent systems Directed graphs Time delay Timing circuits Spurious signal noise

Author Community:

  • [ 1 ] [Wang, Jing]College of Information Science and Technology, Beijing University of Chemical Technology, Beijing; 100029, China
  • [ 2 ] [Wang, Jing]School of Electrical and Control Engineering, North China University of Technology, Beijing; 100144, China
  • [ 3 ] [Peng, Yong]College of Information Science and Technology, Beijing University of Chemical Technology, Beijing; 100029, China
  • [ 4 ] [Dou, Liya]College of Information Science and Technology, Beijing University of Chemical Technology, Beijing; 100029, China

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Source :

International Journal of Control, Automation and Systems

ISSN: 1598-6446

Year: 2021

Issue: 12

Volume: 19

Page: 3880-3889

3 . 2 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:87

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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