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作者:

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

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摘要:

The state consensus problem of high-order discrete-time linear multi-agent system(HDLMAS) under a directed switching information topology is investigated. Firstly, a proper linear transformation is proposed to transform the consensus problem to the asymptotic stability problem of a corresponding discrete-time linear switched system(DLSS). Then for the following two cases, sufficient conditions for the solvability of the consensus problem are deduced by using the average dwell-time approach of DLSS, respectively: 1) some in a given set of information topologies are consensusable; 2) all in the given set of information topologies are consensusable. Finally, simulation result shows the correctness of the obtained results.

关键词:

Asymptotic stability Digital control systems Discrete time control systems Linear transformations Mathematical transformations Multi agent systems Multivariable control systems Topology

作者机构:

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

Control and Decision

ISSN: 1001-0920

年份: 2014

期: 10

卷: 29

页码: 1871-1875

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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