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Betweenness Centrality-Based Consensus Protocol for Second-Order Multiagent Systems With Sampled-Data.

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    Summary

    This study introduces a novel leader-following consensus protocol for multiagent systems, utilizing betweenness centrality to analyze information flow. The new protocol ensures system consensus even with time-varying sampling rates.

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    Area of Science:

    • Control Theory
    • Networked Systems
    • Robotics

    Background:

    • Multiagent systems require coordinated behavior for complex tasks.
    • Achieving consensus in systems with dynamic communication is challenging.

    Purpose of the Study:

    • To design a novel leader-following consensus protocol for second-order multiagent systems.
    • To incorporate betweenness centrality for analyzing information flow in consensus problems.
    • To develop criteria for protocol design using linear matrix inequalities.

    Main Methods:

    • Design of a new leader-following consensus protocol.
    • Application of betweenness centrality to analyze information flow.
    • Construction of a Lyapunov-Krasovskii functional.
    • Establishment of consensus criteria using linear matrix inequalities.

    Main Results:

    • A new leader-following consensus protocol for second-order multiagent systems with time-varying sampling is proposed.
    • Betweenness centrality is utilized for the first time in leader-following consensus protocol design.
    • Consensus criteria are derived using linear matrix inequalities, solvable by optimization algorithms.

    Conclusions:

    • The proposed protocol effectively achieves leader-following consensus in second-order multiagent systems.
    • The use of betweenness centrality offers a novel approach to understanding information flow in consensus.
    • The derived linear matrix inequality criteria provide a practical method for protocol implementation.