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作者:

Chen, Yang-Zhou (Chen, Yang-Zhou.) (学者:陈阳舟) | Ge, Yan-Rong (Ge, Yan-Rong.) | Zhang, Ya-Xiao (Zhang, Ya-Xiao.)

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摘要:

A linear transformation is proposed to deal with the consensus problem of high-order linear multi-agent systems (LMASs). In virtue of the linear transformation, the consensus problem is equivalently translated into a partial stability problem. We discuss three issues of the LMASs under a generalized linear protocol: 1) to find criteria of consensus convergence; 2) to calculate consensus function; 3) to design gain matrices in the linear consensus protocol. Precisely, we provide a necessary and sufficient criterion of consensus convergence in terms of Hurwitz stability of a matrix and give an analytical expression of the consensus function. In addition, we set up a relation between the gain matrices in the protocol and the convergence time and consensus accuracy of the agents, and then design the gain matrices with respect to a pre-specified convergence time and a required consensus accuracy. ©, 2014, Acta Automatica Sinica. All rights reserved.

关键词:

Convergence of numerical methods Linear transformations Mathematical transformations Matrix algebra Multi agent systems System stability

作者机构:

  • [ 1 ] [Chen, Yang-Zhou]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing ; 100124, China
  • [ 2 ] [Ge, Yan-Rong]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing ; 100124, China
  • [ 3 ] [Ge, Yan-Rong]College of Physics Science and Information Engineering, Hebei Normal University, Shijiazhuang ; 050024, China
  • [ 4 ] [Zhang, Ya-Xiao]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing ; 100124, China

通讯作者信息:

  • 陈阳舟

    [chen, yang-zhou]college of electronic information and control engineering, beijing university of technology, beijing ; 100124, china

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来源 :

Acta Automatica Sinica

ISSN: 0254-4156

年份: 2014

期: 11

卷: 40

页码: 2573-2584

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 38

ESI高被引论文在榜: 0 展开所有

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