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Asynchronous Intermittent Regulation of Human Arm Movement with Markovian Jumping Parameters.

Chao Ma1,2, Wei Wu2

  • 1School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

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|November 25, 2022
PubMed
Summary

This study addresses human arm movement stability using intermittent control and Markovian jumping parameters. It develops a model to ensure stable continuous movement despite control system asynchronies.

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Area of Science:

  • Robotics and Control Systems
  • Biomechanics
  • Systems Engineering

Background:

  • Human arm movement control is complex, involving intermittent motor strategies.
  • Asynchronous issues arise from mode mismatches in control and movement.
  • Markovian jumping parameters offer a framework for analyzing systems with changing dynamics.

Purpose of the Study:

  • To investigate the regulation stability of human arm continuous movement.
  • To model human intermittent motor control and asynchronous regulation.
  • To establish stability conditions and optimize the regulation gain.

Main Methods:

  • Utilizing Markovian jumping parameters to represent system uncertainties.
  • Adopting an intermittent control mechanism for human motor control strategy.
  • Employing model transformation and convex optimization techniques.
  • Analyzing asynchronous regulation due to mode mismatches.

Main Results:

  • Sufficient stability conditions for human arm movement were established.
  • A convex optimization method was used to determine the optimal regulation gain.
  • The developed model and approach demonstrated effectiveness through an illustrative example.

Conclusions:

  • The proposed model effectively addresses the regulation stability of human arm continuous movement.
  • The intermittent control and asynchronous regulation framework is applicable to complex biomechanical systems.
  • Optimized regulation gains can be achieved using convex optimization for enhanced control.