Longitudinal control of vehicle platoon via wavelet neural network

Chun Fei Hsu, Wen June Wang, Tsu Tian Lee, Chih Min Lin

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

6 Scopus citations

Abstract

Transportation technology is one of the most influential areas on the human life. There has been an interest in the development of an automated highway system in which high traffic flow rates may be safely achieved. Upon entering the automated highway system, the longitudinal control of car-following collision prevention system will drive a vehicle along the fully automated highway. This paper proposes an intelligent wavelet neural network (IWNN) control system for the car-following collision prevention system based on the wavelet neural network (WNN) approach. The WNN combines the capability of artificial neural networks for learning from processes and the capability of wavelet decomposition for control dynamic systems. In the proposed IWNN system, a WNN controller is used to mimic an ideal controller and a robust controller is designed to compensate for the difference between the ideal controller and the WNN controller. The adaptation laws of the IWNN are derived in the sense of Lyapunov stability analysis, so that the stability of the control system can be guaranteed. Finally, simulation results show that the proposed IWNN control system can achieve favorable tracking performance for a safe car-following control.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Pages3811-3816
Number of pages6
DOIs
StatePublished - 2004
Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
Duration: 10 Oct 200413 Oct 2004

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume4
ISSN (Print)1062-922X

Conference

Conference2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Country/TerritoryNetherlands
CityThe Hague
Period10/10/0413/10/04

Keywords

  • Car-following
  • Intelligent control
  • Wavelet neural network

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