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Model-Based Edge-Event-Triggered Containment Control Under Directed Topologies.

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    Area of Science:

    • Control Theory
    • Networked Systems
    • Robotics

    Background:

    • Multiagent systems (MAS) require robust control strategies for coordinated behavior.
    • Containment control is crucial for applications like surveillance and flocking.
    • Directed network topologies present unique challenges for distributed control.

    Purpose of the Study:

    • To develop an effective containment control protocol for MAS with double integrator dynamics.
    • To address challenges posed by directed network topologies.
    • To reduce communication load by employing an event-triggered control mechanism.

    Main Methods:

    • A model-based edge-event-triggered control protocol is proposed.
    • Control inputs rely on local edge information and agent velocity.
    • A predictive model is used to avoid continuous detection and ensure event-based updates.

    Main Results:

    • The proposed protocol successfully solves the containment control problem for MAS under directed topologies.
    • Zeno behavior (infinite Zeno behavior) is effectively excluded, ensuring practical implementation.
    • Simulation results validate the theoretical findings and demonstrate the protocol's effectiveness.

    Conclusions:

    • The edge-event-triggered control protocol offers an efficient solution for containment control in MAS.
    • The method is robust to directed network structures and avoids undesirable Zeno behavior.
    • This approach has potential applications in various coordinated multiagent systems.