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Author:

Qu, Xiaojun (Qu, Xiaojun.) | Chen, Yangzhou (Chen, Yangzhou.) (Scholars:陈阳舟) | Aleksandrov, A. Yu. (Aleksandrov, A. Yu..) | Dai, Guiping (Dai, Guiping.)

Indexed by:

EI Scopus SCIE

Abstract:

This paper investigates the consensus problem of large-scale multi-agent systems (MASs) with a directed communication topology, especially for the MAS whose topology contains small strongly connected components. A sufficient and necessary consensus criterion is proposed through the combination of two methods. Firstly, a communication searching algorithm is utilized to make sure that each agent obtains the local topology information of strongly connected component where it is located. Secondly, a state-linear-transformation decomposes the consensus problem into a group of stability problems based on the strongly connected components. The corresponding consensus criterion reduces the computational complexity. Moreover, according to the consensus criterion, a distributed design procedure of gain matrices is proposed based on the homotopy method.

Keyword:

Consensus Partial stability State-linear-transformation Multi-agent systems

Author Community:

  • [ 1 ] [Qu, Xiaojun]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 2 ] [Chen, Yangzhou]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 3 ] [Dai, Guiping]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 4 ] [Aleksandrov, A. Yu.]St Petersburg State Univ, Fac Appl Math & Control Proc, St Petersburg 198504, Russia

Reprint Author's Address:

  • 陈阳舟

    [Chen, Yangzhou]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China

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Source :

NEUROCOMPUTING

ISSN: 0925-2312

Year: 2017

Volume: 222

Page: 54-61

6 . 0 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:175

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 11

SCOPUS Cited Count: 14

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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