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Author:

Chen, Yangzhou (Chen, Yangzhou.) | Xu, Guangyue (Xu, Guangyue.) | Zhan, Jingyuan (Zhan, Jingyuan.)

Indexed by:

EI Scopus

Abstract:

This paper studies the leader-following state consensus problem of high-order linear interconnected multi-agent systems (LIMASs) under a general fixed directed communication topology. A novel consensus protocol is firstly proposed, in which different agents can possess different gain matrices and different communication weight matrices. Then, a state linear transformation method is presented to equivalently transform the leader-following state consensus problem into a partial-variable stability problem of a corresponding auxiliary system. Next, a sufficient and necessary consensus criterion is deduced in terms of the Hurwitz stability of a real matrix. Based on this consensus criterion, an iterative algorithm is given to design the gain matrices in the consensus protocol by solving a bilinear matrix inequality (BMI). Finally, simulation examples are provided to verify the effectiveness of the proposed method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

Multi agent systems Iterative methods Matrix algebra Linear transformations Topology

Author Community:

  • [ 1 ] [Chen, Yangzhou]College of Artificial Intelligence and Automation, Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Xu, Guangyue]College of Artificial Intelligence and Automation, Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zhan, Jingyuan]College of Artificial Intelligence and Automation, Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology, Beijing; 100124, China

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Source :

ISSN: 1876-1100

Year: 2022

Volume: 803 LNEE

Page: 841-853

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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