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    This study presents a new fixed-time control protocol for uncertain multiagent systems. The proposed method achieves consensus tracking rapidly, regardless of initial states or system uncertainties.

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    Area of Science:

    • Control Theory
    • Systems Engineering
    • Robotics

    Background:

    • Multiagent systems are crucial for distributed tasks.
    • Achieving consensus tracking in nonlinear systems with uncertainties is challenging.
    • Existing methods often lack fixed-time convergence or robustness to uncertainties.

    Purpose of the Study:

    • To develop a novel distributed observer-based consensus protocol for high-order nonlinear uncertain multiagent systems.
    • To achieve fixed-time consensus tracking independent of initial conditions.
    • To address unknown parameters and nonlinear uncertainties.

    Main Methods:

    • Fixed-time control technique.
    • Modified addition of a power integrator method.
    • Distributed observer-based consensus protocol design.

    Main Results:

    • A novel consensus protocol is proposed.
    • Fixed-time consensus tracking is achieved.
    • The protocol is robust to unknown parameters and nonlinear uncertainties.

    Conclusions:

    • The proposed protocol effectively solves the consensus tracking problem for high-order nonlinear uncertain multiagent systems.
    • Fixed-time convergence is achieved, offering faster and more predictable performance.
    • The results are validated through simulation examples.