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Improved Extended State Observer-Based Consensus Control for Stochastic Multiagent Systems via Dual-Terminal

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    A new consensus control strategy uses an adjustable-time-varying-gain-based event-triggered extended state observer (ATVG-ETESO) and dual-terminal event-triggered mechanism (DTETM) to manage uncertain nonlinear stochastic multiagent systems effectively.

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    Area of Science:

    • Control Theory
    • Nonlinear Systems
    • Stochastic Processes

    Background:

    • Multiagent systems are crucial in various fields, but face challenges with uncertainties and stochastic disturbances.
    • Achieving consensus in these systems requires robust control strategies that minimize communication overhead.

    Purpose of the Study:

    • To propose a novel consensus control strategy for uncertain nonlinear stochastic multiagent systems.
    • To develop an adjustable-time-varying-gain-based event-triggered extended state observer (ATVG-ETESO) for enhanced state estimation.
    • To introduce a dual-terminal event-triggered mechanism (DTETM) for reduced communication burden.

    Main Methods:

    • The study employs an ATVG-ETESO to estimate internal uncertainties and external stochastic disturbances.
    • An adaptive threshold in the DTETM is utilized to minimize communication load on input and output channels.
    • Theoretical analysis is performed to ensure bounded estimation and consensus errors.

    Main Results:

    • The ATVG-ETESO effectively estimates system uncertainties and disturbances.
    • The adjustable time-varying gain prevents peaking and speeds up convergence of estimation errors.
    • The DTETM significantly reduces communication requirements.

    Conclusions:

    • The proposed consensus control strategy is effective for uncertain nonlinear stochastic multiagent systems.
    • The developed ATVG-ETESO and DTETM offer improved performance and efficiency.
    • Simulation examples validate the theoretical findings and practical applicability.