Neural-network-based adaptive control for bilateral teleoperation with multiple slaves under Round-Robin scheduling protocol

Yuling Li, Kai Zhang, Kun Liu*, Rolf Johansson, Yixin Yin

*Corresponding author for this work

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Abstract

A neural-network-based adaptive control scheme is developed for bilateral teleoperation systems with single-master-multiple-slaves in the presence of dynamic uncertainties and communication constraint. Discrete-time data transmitting communication network with bandwidth limitation and time-varying communication delays is considered and the Round-Robin scheduling protocol is used to orchestrate the data transmission from multiple slaves to the master. Stability criteria of the closed-loop system are established by constructing appropriate Lyapunov-Krasovskii functionals. Simulation studies are performed to illustrate the effectiveness of the proposed control algorithm.

Original languageEnglish
Pages (from-to)1461-1474
Number of pages14
JournalInternational Journal of Control
Volume94
Issue number6
DOIs
Publication statusPublished - 2021

Keywords

  • Bilateral teleoperation
  • neural-network-based adaptive control
  • scheduling protocol
  • variable delays

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Li, Y., Zhang, K., Liu, K., Johansson, R., & Yin, Y. (2021). Neural-network-based adaptive control for bilateral teleoperation with multiple slaves under Round-Robin scheduling protocol. International Journal of Control, 94(6), 1461-1474. https://doi.org/10.1080/00207179.2019.1652853