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Distributed Practical Fixed-Time Resource Allocation Algorithm for Disturbed Multiagent Systems: An Integrated

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    Area of Science:

    • Control Systems Engineering
    • Optimization Theory
    • Multiagent Systems

    Background:

    • Investigates fixed-time resource allocation for nonlinear uncertain multiagent systems.
    • Addresses challenges posed by high-order dynamics and coupled decision-making constraints.

    Purpose of the Study:

    • Proposes a novel integrated framework for practical fixed-time resource allocation.
    • Aims to solve complex optimization control problems with coupled constraints.

    Main Methods:

    • Fuses symbolic-function-based fixed-time control theory with gradient consistency.
    • Employs an output-feedback backstepping design with a fixed-time high-order extended state observer.
    • Develops a time-switching controller utilizing proportional-integral control and epsilon-exact penalty functions.

    Main Results:

    • Ensures practical fixed-time stability for all system signals.
    • Guarantees that agent outputs converge to the optimal solution within a defined neighborhood.
    • Demonstrates effectiveness through simulation results.

    Conclusions:

    • The proposed framework effectively addresses fixed-time resource allocation in complex systems.
    • The integrated approach provides a robust solution for uncertain multiagent systems with constraints.
    • Confirms the practical applicability and stability guarantees of the developed control strategy.