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Observer-Based Consensus Control for Discrete-Time Multiagent Systems With Coding-Decoding Communication Protocol.

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    This summary is machine-generated.

    This study develops an observer-based control strategy for discrete-time networked multiagent systems (MASs) using a coding-decoding communication protocol (CDCP). The proposed method ensures agents achieve consensus performance despite digital signal transmission limitations.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Robotics

    Background:

    • Networked multiagent systems (MASs) face challenges in achieving consensus due to communication constraints.
    • Digital communication protocols like the coding-decoding communication protocol (CDCP) introduce complexities in signal transmission.

    Purpose of the Study:

    • To investigate the consensus control problem for discrete-time MASs employing a CDCP.
    • To design an observer-based control scheme that guarantees consensus performance under directed communication topologies.

    Main Methods:

    • Utilizing relative measurement outputs between neighboring agents.
    • Developing a theoretical framework for detectability based on input-to-state stability theory.
    • Deriving sufficient conditions for controller existence and asymptotic consensus.

    Main Results:

    • A novel observer-based control scheme is proposed for MASs with CDCP.
    • Sufficient conditions are established to guarantee asymptotic consensus.
    • Controller parameters are explicitly determined using matrix inequalities.

    Conclusions:

    • The developed control strategy effectively ensures asymptotic consensus in MASs with CDCP.
    • The input-to-state stability theory provides a robust framework for analyzing CDCP.
    • Simulation results validate the proposed control strategy's effectiveness.