Longitudinal control of platoon for electric vehicle using adaptive neural networks

Makoto Katayama, Koji Ichikawa, Yoshitaka Oikawa, Hiromitsu Ohmori

Research output: Chapter in Book/Report/Conference proceedingConference contribution


in AHS(Automated Highway Systems) project which is one of the ITS (Intelligent Highway Systems), the platoon control is developed. in this paper, a platoon control law based on Adaptive Neural Network (ANN) to lower level and Semi-Autonomous Adaptive Cruise Control (SAACC) to upper level is proposed. Moreover, there is "Delay" with the communication and the sensor. We design their compensators, and did stability analysis that takes those error into consideration. We confirmed that the closed loop system is stable, and confirmed the effectiveness in the numerical simulation.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Number of pages6
ISBN (Print)008045108X, 9780080451084
Publication statusPublished - 2005

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
ISSN (Print)1474-6670


  • Adaptive control
  • Electric vehicles
  • Follow-up control
  • Inverse dynamics control
  • Neural networks
  • Nonlinear controlsystems

ASJC Scopus subject areas

  • Control and Systems Engineering


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