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Robust design for bilateral teleoperation system with Markov jumping parameters

Conference Paper Telerobotics III Artificial Intelligence ยท Robotics

Abstract

This paper presents a robust design for the general bilateral teleoperation system with Markov jumping parameters. Although passivity-based approach and robust design-based approach can stabilize the bilateral teleoperation system, sufficient conditions are too conservative. In this paper, requirements for a general bilateral teleoperation system are given first. Next, time delays on the internet are modeled by a Markov process with nine states, three for the forward communication branch and three for the backward communication branch. Based on the requirements of the master and the slave controllers, the standard robust design are carried out. Then, with the model of internet time delays, the bilateral teleoperation system is reconstructed by a Markov jumping system. Based on the mode-dependent stability conditions for the stochastic time delay system, the closed-loop controller is designed to obtain the less conservative stable system and to therefore improve the performance of tracking and transparency. Simulation has been carried out and the results verify the feasibility and efficiency of the proposed approach.

Authors

Keywords

  • Robustness
  • Delay effects
  • Internet
  • Sufficient conditions
  • Markov processes
  • Master-slave
  • Communication system control
  • Robust control
  • Stability
  • Stochastic systems
  • Robust Design
  • Markovian Jump
  • Markov Jumping Parameters
  • Time Delay
  • Markov Chain
  • Closed-loop Control
  • Standard Design
  • Time-delay Systems
  • High Load
  • Low Load
  • Control Design
  • Problem Statement
  • Closed-loop System
  • Performance Criteria
  • Control Loop
  • Teleoperator
  • Steady-state Error
  • Master Controller
  • Small Delay
  • Large Delay
  • Overshot
  • Random Delay
  • Continuous-time Markov Chain
  • MATLAB Toolbox
  • Finite State Space

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
362226872129232129
v2026.09.13