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The HoneyComb Paradigm for Research on Collective Human Behavior
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Pull-Based Distributed Event-Triggered Consensus for Multiagent Systems With Directed Topologies.

Xinlei Yi, Wenlian Lu, Tianping Chen

    IEEE Transactions on Neural Networks and Learning Systems
    |December 17, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a pull-based event-triggered control to solve the consensus problem in multiagent systems. The proposed method ensures consensus even with discontinuous communication, enhancing system efficiency.

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    Last Updated: Mar 28, 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

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    Area of Science:

    • Control Theory
    • Networked Systems
    • Distributed Computing

    Background:

    • Consensus is a fundamental problem in multiagent systems, crucial for coordinated behavior.
    • Event-triggered control strategies aim to reduce communication and computation load.
    • Existing methods often assume continuous communication, which is not always practical.

    Purpose of the Study:

    • To investigate the consensus problem in multiagent systems using a novel pull-based event-triggered feedback control.
    • To analyze the effectiveness of the proposed control strategy under general directed network topologies.
    • To extend the approach to scenarios with discontinuous communication (self-triggered control).

    Main Methods:

    • Developing a pull-based event-triggered feedback control mechanism.
    • Analyzing system stability and consensus achievement for directed graph topologies.
    • Extending the analysis to self-triggered control for discontinuous communication.

    Main Results:

    • The proposed event-triggered control algorithm achieves consensus in multiagent systems with directed topologies, provided a spanning tree exists.
    • The method is effective for both continuous and discontinuous communication scenarios.
    • Theoretical results are validated through a numerical example.

    Conclusions:

    • Event-triggered control offers an efficient approach to achieving consensus in multiagent systems.
    • The pull-based strategy effectively manages communication, even in complex network topologies.
    • The extension to self-triggered control demonstrates practical applicability in resource-constrained environments.