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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
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Distributed Dynamic Event-Triggered Consensus Protocol for General Linear Multiagent Systems Without Accurate System

Changkun Du, Haikuo Liu, Zhen Li

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    Summary
    This summary is machine-generated.

    This study introduces a distributed dynamic event-triggered consensus (DETC) protocol for multiagent systems (MASs) using inaccurate agent models. The novel approach reduces computational costs and communication, ensuring consensus convergence without Zeno behavior.

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    Area of Science:

    • Control Theory
    • Systems Engineering
    • Distributed Computing

    Background:

    • Consensus control in multiagent systems (MASs) is crucial for coordinated behavior.
    • Accurate agent models are often unavailable in real-world distributed systems.
    • Event-triggered control strategies aim to reduce communication and computation overhead.

    Purpose of the Study:

    • To develop a distributed dynamic event-triggered consensus (DETC) protocol for MASs with inaccurate agent models.
    • To reduce computational cost and communication load in MASs.
    • To ensure consensus convergence and avoid Zeno behavior.

    Main Methods:

    • Design of a novel triggering error for event-based control.
    • Development of a distributed dynamic event-triggered consensus (DETC) protocol for general linear dynamics over digraphs.
    • Integration of a mixed triggering threshold with a resilient function to enlarge interevent intervals.
    • On-demand access to neighboring agent states for triggering and control updates.

    Main Results:

    • Significant reduction in computational cost, particularly for MASs with high-dimensional system matrices.
    • Preservation of communication resources through on-demand state sharing.
    • Theoretical validation of consensus convergence and exclusion of Zeno behavior.
    • Demonstrated effectiveness of the DETC protocol through simulations.

    Conclusions:

    • The proposed DETC protocol effectively achieves consensus in MASs even with inaccurate agent models.
    • The event-triggered approach enhances efficiency by reducing computation and communication.
    • The method is robust and practical for real-world implementations.