This paper presents the dynamic neuro-fuzzy control system for controlling the intelligent transportation system. The controller proposed in this paper is comprised two dynamic neural networks and a system identifier. The system identifier is used to identify the output of the adaptive cruise control system, and one of the dynamic neural networks is employed to learn the weighting factor of the fuzzy logic neural network, the other is control the vehicle system. When the control strategy is not suit for vehicle, identifier will select the best model to be the controller.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamic Neuro-Fuzzy Control Design for Adaptive Cruise Controller in Intelligent Transportation System


    Contributors:
    Xu, Kaijun (author) / Xu, Yang (author)

    Conference:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2009-07-29




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Dynamic Neuro-Fuzzy Control Design for Adaptive Cruise Controller in Intelligent Transportation System

    Xu, K. / Xu, Y. / China Communications and Transportation Association; Transportation & Development Institute (American Society of Civil Engineers) | British Library Conference Proceedings | 2009



    Adaptive Neuro-Fuzzy Controller

    Kishan Kumar Kumbla / Jamshidi, M. / Rodrieguiz, S. | British Library Conference Proceedings | 1997


    Neuro-Fuzzy Dynamic Inversion Control for a Hypersonic Cruise Vehicle

    Holm-Hansen, Brian / Lee, Howard / Youssef, Hussein | AIAA | 2010


    Neuro-Fuzzy Dynamic Inversion Control for a Hypersonic Cruise Vehicle

    Youssef, H. / Holm-Hansen, B. / Lee, H.P. et al. | British Library Conference Proceedings | 2010