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Related Experiment Video

Updated: Mar 14, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Distributed synchronization control of complex networks with communication constraints.

Zhenhua Xu1, Dan Zhang2, Hongbo Song3

  • 1Department of Automation, Zhejiang University of Technology, Hangzhou 310023, PR China.

ISA Transactions
|September 21, 2016
PubMed
Summary

This study presents a distributed synchronization control method for complex networks facing communication limits. It ensures exponential synchronization in the mean-square sense, even with packet loss and reduced transmission rates.

Keywords:
Communication constraintsComplex networksMeasurement size reductionRandom packet lossesSynchronization controlTransmission rate reduction

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Area of Science:

  • Control Systems Engineering
  • Networked Systems
  • Wireless Communication

Background:

  • Complex networks often face communication constraints, impacting control system performance.
  • Wireless communication in controller networks introduces challenges like packet loss and limited transmission power.
  • Existing methods may not adequately address these combined constraints for distributed synchronization.

Purpose of the Study:

  • To develop a distributed synchronization control strategy for complex networks with communication constraints.
  • To address packet size reduction, transmission rate reduction, and packet dropout in controller networks.
  • To guarantee exponential synchronization in the mean-square sense under these challenging conditions.

Main Methods:

  • Modeling the closed-loop system as a switched system with uncertainties and random variables.
  • Employing switched system theory and stochastic system analysis.
  • Utilizing the cone complementarity linearization (CCL) algorithm to determine controller gains.

Main Results:

  • A novel sufficient condition for achieving exponential synchronization in the mean-square sense is proposed.
  • The proposed control design effectively manages communication load through packet size and rate reduction.
  • The controller design accounts for packet dropout, a common issue in networked control systems.

Conclusions:

  • The developed distributed synchronization control method is effective for complex networks with communication constraints.
  • The proposed techniques ensure robust exponential synchronization despite packet loss and transmission limitations.
  • Simulation results validate the effectiveness of the controller design and the proposed algorithms.