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WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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Cooperative Control of Multiagent Systems: A Quantization Feedback-Based Event-Triggered Approach.

Hongwei Cao, Xiucai Huang, Yongduan Song

    IEEE Transactions on Cybernetics
    |September 13, 2023
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    Summary

    This study introduces an event-triggered neuroadaptive control for uncertain nonlinear multiagent systems. The novel strategy reduces communication and computation by updating parameters intermittently, ensuring system synchronization.

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    Area of Science:

    • Control Systems Engineering
    • Artificial Intelligence

    Background:

    • Synchronization tracking in high-order uncertain nonlinear multiagent systems presents significant challenges.
    • Existing methods often require continuous communication and computation, leading to inefficiency.

    Purpose of the Study:

    • To develop an event-triggered neuroadaptive control method for synchronization tracking in high-order uncertain nonlinear multiagent systems.
    • To reduce communication and computation load through intermittent feedback and parameter updates.

    Main Methods:

    • A novel storer-based triggering transmission strategy was employed for state channels.
    • An event-triggered neuroadaptive control method with quantitative state feedback was proposed.
    • A dual-phase technique was used for intermittent updating of neural network weights.

    Main Results:

    • The proposed method avoids continuous control updates by performing parameter estimations at trigger instants.
    • Lower-frequency triggering transmissions were achieved using a single event detector per agent.
    • Tracking and disagreement errors were steered into an adjustable neighborhood near the origin.
    • A strictly positive dwell time was proven to prevent Zeno behavior.

    Conclusions:

    • The developed event-triggered neuroadaptive control scheme is efficient for synchronization tracking in complex multiagent systems.
    • The strategy conserves communication and computational resources effectively.
    • Theoretical analysis and simulations confirm the protocol's validity and performance.