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    This study addresses consensus in multiagent systems (MASs) with limited energy and bandwidth using event-triggered communication (ETC) and state quantization. Novel control strategies ensure agents reach consensus asymptotically while avoiding Zeno behavior.

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    Area of Science:

    • Control Theory
    • Distributed Systems
    • Robotics

    Background:

    • Multiagent systems (MASs) face challenges with limited energy and communication bandwidth.
    • Achieving consensus in MASs is crucial for coordinated behavior.
    • Existing methods struggle with disturbances and data constraints.

    Purpose of the Study:

    • To investigate consensus in MASs under energy and bandwidth constraints.
    • To develop a control strategy incorporating event-triggered communication (ETC) and state quantization.
    • To address mismatched disturbances using a novel sliding-mode surface.

    Main Methods:

    • Proposed a novel multiple discontinuous sliding-mode surface and control law.
    • Integrated event-triggered and dynamic quantized mechanisms.
    • Extended the approach to self-triggered and periodic event-triggered scenarios.

    Main Results:

    • Achieved asymptotic consensus for all agents while completely avoiding Zeno behavior.
    • Demonstrated bounded consensus in periodic event-triggered cases.
    • Showcased adjustable consensus error bounds and a reduction to the ETC case.

    Conclusions:

    • The proposed control scheme effectively handles energy and bandwidth limitations in MASs.
    • The novel sliding-mode approach ensures robust and efficient consensus.
    • The work provides a flexible framework for various triggering mechanisms in MASs.