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Related Experiment Video

Updated: Mar 8, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
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Published on: January 19, 2019

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Output Consensus of Heterogeneous Linear Multi-Agent Systems by Distributed Event-Triggered/Self-Triggered Strategy.

Wenfeng Hu, Lu Liu, Gang Feng

    IEEE Transactions on Cybernetics
    |January 24, 2017
    PubMed
    Summary

    Researchers developed new control schemes for multi-agent systems to achieve output consensus. These event- and self-triggered methods reduce monitoring needs and prevent Zeno behavior in heterogeneous linear systems.

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    Last Updated: Mar 8, 2026

    The HoneyComb Paradigm for Research on Collective Human Behavior
    06:48

    The HoneyComb Paradigm for Research on Collective Human Behavior

    Published on: January 19, 2019

    9.9K

    Area of Science:

    • Control Systems Engineering
    • Distributed Systems
    • Robotics

    Background:

    • Multi-agent systems require coordinated behavior for complex tasks.
    • Achieving output consensus in heterogeneous systems presents significant challenges.
    • Existing control strategies often demand continuous monitoring, increasing computational load.

    Purpose of the Study:

    • To propose novel distributed control schemes for solving the output consensus problem in heterogeneous linear multi-agent systems.
    • To develop event-triggered and self-triggered control strategies that minimize communication and computation.
    • To ensure the stability and effectiveness of the proposed control schemes while avoiding Zeno behavior.

    Main Methods:

    • Development of a distributed event-triggered control scheme.
    • Formulation of a distributed self-triggered control scheme.
    • Mathematical analysis to demonstrate consensus achievement based on matrix equations.
    • Introduction of a fixed timer to prevent Zeno behavior in both schemes.

    Main Results:

    • The proposed event-triggered control scheme ensures output consensus under specific matrix equation conditions.
    • The self-triggered control scheme successfully achieves output consensus without continuous monitoring.
    • Both schemes effectively prevent Zeno behavior through the use of a fixed timer.
    • A practical example validates the effectiveness of both control strategies.

    Conclusions:

    • Novel distributed event-triggered and self-triggered control schemes are effective for solving the output consensus problem in heterogeneous linear multi-agent systems.
    • These schemes offer reduced monitoring requirements and computational efficiency.
    • The proposed methods provide a robust solution for coordinating multi-agent systems while preventing undesirable Zeno behavior.