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Synchronization Control for Network Systems With Communication Constraints.

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    This study introduces a new synchronization control strategy for network systems with nonidentical nodes and communication limits. The novel sampled-data controller ensures reliable synchronization despite communication constraints and aperiodic sampling.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Distributed Control

    Background:

    • Network systems often face challenges with nonidentical node dynamics and communication constraints.
    • Achieving synchronization in such systems requires robust control strategies that account for limited information exchange.

    Purpose of the Study:

    • To develop a novel distributed control strategy for synchronization in network systems with nonidentical nodes and communication constraints.
    • To design a controller that utilizes sampled-data control to reduce communication frequency while ensuring synchronization.

    Main Methods:

    • A distributed controller comprising a reference generator (RG) and a regulator was designed for each node.
    • A sampled-data control strategy was employed to reduce communication frequency between nodes and their regulators.
    • The small-gain theorem was used to calculate the upper bound of aperiodic sampling instants by formulating the closed-loop system.

    Main Results:

    • The proposed control strategy effectively achieves synchronization for nonidentical nodes in weakly connected networks.
    • The sampled-data approach successfully reduced communication frequency without compromising synchronization performance.
    • Simulation results validated the effectiveness of the designed controller and the overall synchronization strategy.

    Conclusions:

    • The novel sampled-data control strategy provides an effective solution for synchronization in complex network systems with communication limitations.
    • The method ensures reliable synchronization for nonidentical nodes by carefully managing communication and sampling instants.
    • This research contributes to the advancement of robust control techniques for networked systems.