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Adaptive Event-Based Consensus of Multi-Agent Systems with General Linear Dynamics

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Abstract

In this paper, adaptive event-based consensus of multi-agent systems with general linear dynamics is considered. A novel adaptive event-based controller and a state-dependent triggering function are proposed for each agent. The consensus can be achieved without the assumption that (A,B) is stabilizable. Furthermore, the Zeno-behavior of the concerned closed-loop system is also excluded under certain conditions. Finally, a numerical simulation example is presented to show the effectiveness of the theoretical results.

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Authors and Affiliations

  1. Key Lab of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Dandan Wang, Qianghui Zhou & Wei Zhu

Authors
  1. Dandan Wang
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  2. Qianghui Zhou
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  3. Wei Zhu
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Corresponding author

Correspondence to Wei Zhu.

Additional information

This work was supported partly by the National Natural Science Foundation of China under Grant 61673080, 61403314, 61773321, partly by Training Programme Foundation for the Talents of Higher Education by Chongqing Education Commission, partly by Innovation Team Project of Chongqing Education Committee under Grant CXTDX201601019, partly by Chongqing Research and Innovation Project of Graduate Students under Grant CYS17229.

This paper was recommended for publication by Guest Editor XIN Bin.

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Wang, D., Zhou, Q. & Zhu, W. Adaptive Event-Based Consensus of Multi-Agent Systems with General Linear Dynamics. J Syst Sci Complex 31, 120–129 (2018). https://doi.org/10.1007/s11424-018-7360-0

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  • DOI: https://doi.org/10.1007/s11424-018-7360-0

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