External consensus in multi-agent systems with large consecutive data loss under unreliable networks

Nurul Adilla Mohd Subha*, G-P Liu

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    This study discusses the external consensus problem for non-identical networked multi-agent systems with network data loss, considering both uniform and random consecutive data losses induced by long periods of transmission failure. A novel approach using a combination of prediction strategy and constant control gain based on gain error ratio (GER) is proposed for solving the problem. The main contribution of this study is a simple and practical way of selecting control gain using GER to help overcome prediction inaccuracies caused by the prediction process during a long period of consecutive data loss. The feasibility and performance of the proposed consensus protocol is demonstrated through simulation and practical experiment.

    Original languageEnglish
    Pages (from-to)989-1000
    Number of pages12
    JournalIet control theory and applications
    Volume10
    Issue number9
    DOIs
    Publication statusPublished - 5 Jun 2016

    Keywords

    • multi-agent systems
    • multi-robot systems
    • random processes
    • consecutive data loss
    • unreliable network
    • nonidentical networked multiagent system
    • random consecutive data losses
    • transmission failure
    • constant control gain
    • gain error ratio
    • GER
    • consensus protocol
    • prediction strategy
    • external consensus problem
    • COMMUNICATION
    • DELAY

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