Neuro-adaptive formation control of multi-mobile vehicles: Virtual leader based path planning and tracking

  • Z. SUN*
  • , M. J. ZHANG
  • , X. H. LIAO
  • , W. C. CAI
  • , Y. D. SONG
  • *Corresponding author for this work

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

Abstract

This paper presents a neuro intelligent virtual leader based approach for close formation of a group of mobile vehicles. Neural Network-based trajectory planning is incorporated into the leading vehicle so that an optimal reference path is generated automatically by the virtual leader, which guides the whole team vehicles to the area of interest as precisely as possible. The steering control scheme is derived based on the structural properties of the vehicle dynamics. Simulation on multiple vehicles formation is conducted as a verification of the effectiveness of the proposed method. © Springer-Verlag Berlin Heidelberg 2007.
Original languageEnglish
Title of host publicationAdvances in Neural Networks: ISNN 2007: 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
EditorsDerong LIU, Shumin FEI, Zeng-Guang HOU, Huaguang ZHANG, Changyin SUN
PublisherSpringer Berlin Heidelberg
Pages786-795
Number of pages10
ISBN (Electronic)9783540723837
ISBN (Print)9783540723820
DOIs
Publication statusPublished - 2007
Externally publishedYes

Keywords

  • Chaos
  • algorithm
  • algorithms
  • communication
  • data mining
  • fuzzy
  • fuzzy system
  • learning
  • modeling
  • optimization
  • programming
  • robot
  • robotics
  • system modeling
  • algorithm analysis and problem complexity

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