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    Area of Science:

    • Control Systems Engineering
    • Robotics
    • Networked Systems

    Background:

    • Nonlinear multiagent systems (MAS) face challenges in cooperative control due to data collisions and unmatched disturbances.
    • Stochastic communication protocols (SCP) are crucial for managing data transmission in MAS to prevent collisions.
    • Model predictive control (MPC) and integral sliding-mode control are advanced techniques for complex control problems.

    Purpose of the Study:

    • To investigate the cooperative control problem for nonlinear multiagent systems (MAS) under stochastic communication protocols (SCP).
    • To develop a composite control strategy integrating MPC and integral sliding-mode control to address unmatched disturbances.
    • To establish sufficient conditions for guaranteeing cooperative behavior and ensuring system stability.

    Main Methods:

    • Adoption of a stochastic communication protocol (SCP) for scheduling data transmission to avoid collisions.
    • Development of a composite control strategy combining model predictive control (MPC) and integral sliding-mode control.
    • Establishment of sufficient conditions for cooperative behavior and analysis of recursive feasibility and mean-square practical stability for the MPC parameters.

    Main Results:

    • Sufficient conditions were established to guarantee the cooperative behavior of the MAS under SCP scheduling.
    • The parameters of the MPC scheme were optimized to ensure recursive feasibility and mean-square practical stability.
    • Numerical simulations demonstrated the effectiveness of the proposed cooperative control methodology.

    Conclusions:

    • The proposed composite control strategy effectively addresses cooperative control challenges in nonlinear MAS with SCP.
    • The integration of MPC and integral sliding-mode control ensures robust performance and stability.
    • The methodology is validated through numerical simulations, showing its practical applicability, particularly in satellite systems.