Model predictive control for a brain-controlled mobile robot

Fujian He, Luzheng Bi*, Yun Lu, Hongqi Li, Ling Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

The control performance and safety of current brain-controlled mobile robots are limited. To address this problem, in this paper, we design an assistive controller based on the model predictive control method. The proposed controller fuses tracking user intention and guaranteeing safety of brain-controlled mobile robots into an optimization problem. In this way, the proposed controller can make users control a brain-controlled mobile robot as much as possible given the mobile robot is safe. The experimental results show that the proposed controller can improve the control performance of the brain-controlled simulated mobile robot and guarantee its safety.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3184-3188
Number of pages5
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - 27 Nov 2017
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: 5 Oct 20178 Oct 2017

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Conference

Conference2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/TerritoryCanada
CityBanff
Period5/10/178/10/17

Keywords

  • Brain-computer interfaces
  • Brain-controlled mobile robots
  • Model predictive control

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