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Adaptive Dynamic Event-Triggered Fault-Tolerant Consensus for Nonlinear Multiagent Systems With Directed/Undirected

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    This study introduces a novel dynamic adaptive event-triggered mechanism for fault-tolerant consensus in nonlinear multiagent systems (MASs), ensuring reliable control without Zeno behavior.

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    Area of Science:

    • Control Theory
    • Networked Systems
    • Robotics

    Background:

    • Achieving fault-tolerant consensus in nonlinear multiagent systems (MASs) is crucial for reliable distributed operations.
    • Existing event-triggered mechanisms can be further optimized for efficiency and robustness.

    Purpose of the Study:

    • To develop a novel dynamic adaptive event-triggered mechanism (DAETM) for fault-tolerant consensus in nonlinear MASs.
    • To design a distributed dynamic adaptive event-triggered fault-tolerant controller (DDAETFTC) to enhance system performance and reliability.

    Main Methods:

    • A general dynamic adaptive event-triggered mechanism (DAETM) was proposed, improving upon existing static and dynamic approaches.
    • A new distributed dynamic adaptive event-triggered fault-tolerant controller (DDAETFTC) was designed for nonlinear MASs.
    • Criteria were derived to guarantee asymptotic consensus for both directed and undirected networks.

    Main Results:

    • The proposed DDAETFTC ensures asymptotic consensus for nonlinear MASs under both directed and undirected network topologies.
    • The developed DAETM prevents Zeno behavior, ensuring practical implementation.
    • The results are applicable to linear MASs as well.

    Conclusions:

    • The novel DAETM and DDAETFTC provide an effective solution for fault-tolerant consensus in nonlinear MASs.
    • The proposed control strategy enhances system reliability and avoids Zeno behavior.
    • This work contributes to the advancement of robust control for distributed systems.