Neuro adaptive control of asymmetrically driven mobile robots with uncertainties

  • Zhixi SHEN
  • , Yaping MA
  • , Yongduan SONG*
  • *Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

This paper presents an adaptive tracking control scheme for asymmetrically actuated wheeled mobile robot (WMR) with uncer-tain/unknown mass center. First, we establish the WMR dynamic model with consideration of the fact that its center of mass is normally unknown or even shifting due to dynamic loading and/or load shifting. Second, a structurally simple controller is developed to deal with time-varying unknown control gain and parametric/non-parametric uncertainties of WMR, where the asymmetric and non-smooth input saturation with no a prior knowledge of bounds of input saturation is addressed.
Original languageEnglish
Title of host publicationAdvances in Neural Networks, ISNN 2017: 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Japan, June 21-26, 2017, Proceedings, Part II
EditorsFengyu CONG, Andrew LEUNG, Qinglai WEI
Pages109-117
Number of pages9
DOIs
Publication statusPublished - 2017
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
VolumeLNCS 10262
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameTheoretical Computer Science and General Issues
PublisherSpringer
NameInternational Symposium on Neural Networks
PublisherSpringer

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Funding

This work is supported in part by technology transformation program of Chongqing higher education university (KJZH17102), the National Natural Science Foundation of China (No. 51374264), and the China Scholarship Council (No. 201508505045).

Keywords

  • Adaptive control
  • Inputs saturation
  • Neural network
  • Uncertain load
  • WMR

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