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Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies

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Abstract

This paper investigates the distributed leaderless consensus problem of networked Markov jump multi-agent systems with mode-dependent switching topologies. Specifically, a novel mode-dependent sampling and event-triggered communication strategy is proposed to reduce the network burden with less conservatism. Based on model transformation and constructing the mode-dependent Lyapunov-Krasovskii functional, sufficient consensus criteria are first established. Then, the desired event triggering function parameters and the controller gains are designed in terms of linear matrix inequalities (LMIs). In the end, an illustrative example is provided to verify the effectiveness of our proposed consensus method.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant 61703038 and 61627808.

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Authors and Affiliations

  1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Chao Ma

  2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Chao Ma & Erlong Kang

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  1. Chao Ma
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  2. Erlong Kang
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Correspondence to Chao Ma.

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This article is part of the Topical Collection: Special Issue on Networked Cyber-Physical Systems

Guest Editors: Heng Zhang, Mohammed Chadli, Zhiguo Shi, Yanzheng Zhu, and Zhaojian Li

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Ma, C., Kang, E. Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies. Peer-to-Peer Netw. Appl. 12, 1753–1760 (2019). https://doi.org/10.1007/s12083-019-00754-y

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  • DOI: https://doi.org/10.1007/s12083-019-00754-y

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