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Updated: Feb 4, 2026

Author Spotlight: Investigating Islet Abnormalities and Function with a Pseudoislet Protocol
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Robust synchronization of networked manipulators using distributed dynamic H∞ controllers.

Haniyeh Seyed Alinezhad1, Mohammad Hosseinzadeh Yamchi1, Reza Mahboobi Esfanjani1

  • 1Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.

ISA Transactions
|October 2, 2018
PubMed
Summary

This study addresses the robust synchronization of networked, non-identical robot manipulators using nonlinear H∞ control. The proposed method simplifies controller design by solving matrix inequalities, ensuring reliable robot coordination despite model uncertainties.

Keywords:
controlNetworked manipulatorsParametric uncertaintySynchronization

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Area of Science:

  • Robotics
  • Control Theory
  • Networked Systems

Background:

  • Networked robotic systems often face challenges with synchronization due to non-identical manipulator dynamics and model uncertainties.
  • Achieving robust and reliable synchronization is crucial for collaborative robotic tasks.

Purpose of the Study:

  • To investigate the problem of synchronizing networked, non-identical manipulators under model uncertainties.
  • To design distributed output-feedback dynamic controllers for robust synchronization using nonlinear H∞ control.

Main Methods:

  • Employed the framework of nonlinear H∞ control to design distributed output-feedback controllers.
  • Developed a method to compute controller parameters by solving computationally tractable matrix inequalities, avoiding complex differential inequalities.
  • Utilized comparative simulations to validate the proposed synchronization strategy.

Main Results:

  • Successfully designed controllers that achieve robust synchronization of non-identical manipulators in a networked setup.
  • Demonstrated that the proposed controller design approach, based on matrix inequalities, is computationally efficient.
  • Simulation results confirmed the effectiveness and applicability of the developed method for robust synchronization.

Conclusions:

  • The proposed nonlinear H∞ control approach offers an effective and computationally tractable solution for synchronizing networked non-identical manipulators with model uncertainties.
  • The method simplifies the design process compared to traditional nonlinear H∞ techniques.
  • The findings are applicable to various collaborative robotics applications requiring precise coordinated motion.