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Consensus control of stochastic multi-agent systems: a survey

  • Lifeng Ma
  • Zidong WangEmail author
  • Qing-Long Han
  • Yurong Liu
Review

Abstract

In this article, we provide a review of the consensus control problem for stochastic multi-agent systems (MASs). Recent advances are surveyed according to the method of occurrence of the stochasticity of the MASs. First, the consensus problem is discussed for MASs, wherein individual agents are corrupted by random noises, i.e., the dynamics of agents involve stochasticity in process and/or measurement equations. Both additive noises and multiplicative noises are surveyed in detail and special attention is paid to the MASs whose dynamics are governed by Itô differential equations. Moreover, particular effort is devoted to presenting the latest progress on the consensus problem for a special type of stochastic MAS with Markovian jump parameters. Subsequently, the relevant research is summarized for MASs with noisy communication environments and stochastic sampling. Further, we provide a systematic review of the consensus problems for MASs whose communication topology varies randomly in the process of data propagation among agents. Finally, conclusions are drawn and several potential future research directions are outlined.

Keywords

stochastic multi-agent systems consensus control stochastic noises Markovian jump systems random topology 

Notes

Acknowledgements

This work was supported in part by Fundamental Research Funds for the Central Universities (Grant No. 30916011337), Postdoctoral Science Foundation of China (Grant No. 2014M551598), Research Fund for the Taishan Scholar Project of Shandong Province of China, Australian Research Council Discovery Project (Grant No. DP160103567), National Natural Science Foundation of China (Grant No. 61773209), Royal Society of the U.K., and Alexander von Humboldt Foundation of Germany.

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Copyright information

© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  • Lifeng Ma
    • 1
  • Zidong Wang
    • 2
    • 3
    Email author
  • Qing-Long Han
    • 4
  • Yurong Liu
    • 5
  1. 1.School of AutomationNanjing University of Science and TechnologyNanjingChina
  2. 2.College of Electrical Engineering and AutomationShandong University of Science and TechnologyQingdaoChina
  3. 3.Department of Computer ScienceBrunel University LondonUxbridgeUK
  4. 4.School of Software and Electrical EngineeringSwinburne University of TechnologyMelbourneAustralia
  5. 5.Department of MathematicsYangzhou UniversityYangzhouChina

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