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作者:

Zhan, Jingyuan (Zhan, Jingyuan.) | Chen, Yangzhou (Chen, Yangzhou.) (学者:陈阳舟)

收录:

EI

摘要:

This paper investigates the leader-following consensus problem of multiple single-integrators by using a novel linear transformation method together with the input-to-state stability property. The multi-agent system is assumed to contain a single leader, and we consider the following three cases. 1) The leaders input is pre-given and known by all following agents. 2) The leaders input is unknown. 3) The leaders input is measurable online and transmitted to some of follower agents. By constructing a transformation matrix based on incidence matrix of a virtual leader-rooted spanning tree, we make an equivalent transformation from leader-following consensus problem to an input-to-state stability problem. Then we give a necessary and sufficient condition, which is the Hurwitz stability of a matrix associated with the communication topology, for ensuring the leader-following consensus. In order to efficiently check whether the matrix is Hurwitz stable, especially for large-scale multi-agent systems, we further employ the Hurwitz stability criteria of the matrix based on Metzler matrix theory. Finally, we give numerical examples to validate the theoretical results. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词:

Intelligent agents Intelligent systems Linear transformations Mathematical transformations Matrix algebra Multi agent systems Stability criteria

作者机构:

  • [ 1 ] [Zhan, Jingyuan]College of Artificial Intelligence and Automation, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Chen, Yangzhou]College of Artificial Intelligence and Automation, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • 陈阳舟

    [chen, yangzhou]college of artificial intelligence and automation, beijing university of technology, beijing; 100124, china

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ISSN: 1876-1100

年份: 2021

卷: 705 LNEE

页码: 36-47

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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