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Related Experiment Video

Updated: Apr 20, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Fault-Tolerant Consensus of Multi-Agent System With Distributed Adaptive Protocol.

Shun Chen, Daniel W C Ho, Lulu Li

    IEEE Transactions on Cybernetics
    |November 22, 2014
    PubMed
    Summary

    This study introduces a distributed adaptive protocol for fault-tolerant consensus in multi-agent systems. The new protocol effectively compensates for faults and uncertainties, ensuring reliable system operation.

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    Area of Science:

    • Control Engineering
    • Distributed Systems
    • Artificial Intelligence

    Background:

    • Achieving consensus in multi-agent systems is crucial for coordinated behavior.
    • Faults and uncertainties can disrupt consensus, necessitating robust protocols.
    • Existing methods often lack full decentralization or adaptability.

    Purpose of the Study:

    • To develop a fully distributed adaptive fault-tolerant consensus protocol for leaderless multi-agent systems.
    • To design a distributed fault-tolerant leader-follower consensus protocol.
    • To address fault and uncertainty compensation using local information.

    Main Methods:

    • Proposed distributed adaptive online updating strategies for network parameters.
    • Developed a distributed adaptive protocol to compensate for fault and uncertainty effects.
    • Designed a distributed updating protocol gain based on local state information.

    Main Results:

    • A fully distributed continuous adaptive fault-tolerant consensus protocol for leaderless systems was designed.
    • A distributed fault-tolerant leader-follower consensus protocol was constructed.
    • The effectiveness of the proposed adaptive method was demonstrated through simulations.

    Conclusions:

    • The proposed distributed adaptive protocol enables robust fault-tolerant consensus in multi-agent systems.
    • The method effectively compensates for system uncertainties and external faults.
    • The developed protocols are fully distributed and adaptable, enhancing system reliability.