Aiming at the problem of optimal shift control of the automated mechanical transmission (AMT) used in an automobile, a method of optimal shift control based on pattern recognition and a learning algorithm is presented. A pattern recognition technique is applied to simulate the intuitional thought of a driver in the process of deciding to change the gear position of a manual transmission, and an iterative learning algorithm is employed to make the shift schedule approach the optimal schedule in the process of repeated shifting, so that an optimal shift schedule need not be established in advance. Determination of the optimal shift schedule depending on simulation tests with transmission system test equipment can be avoided and manpower spared, expenses reduced and the time of developing AMT products shortened.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A method of optimal shift control based on pattern recognition and learning algorithm


    Beteiligte:
    Yang, Zhigang (Autor:in) / Cao, Chang-Xiu (Autor:in) / Su, Yugang (Autor:in)


    Erscheinungsdatum :

    2002


    Format / Umfang :

    5 Seiten, 5 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Model-based optimal gear shift pattern scheduling and smooth gear shifting control

    Hur, Hwan / Nagata, Takashi / Tomizuka, Masayoshi | Tema Archiv | 2006


    Model-Based Optimal Gear Shift Pattern Scheduling and Smooth Gear Shifting Control

    Hur, H. / Nagata, T. / Tomizuka, M. et al. | British Library Conference Proceedings | 2006


    Search-Less Algorithm for Star Pattern Recognition

    Mortari, Daniele | Online Contents | 1997


    Search-Less Algorithm for Star Pattern Recognition

    Mortari, Daniele | Springer Verlag | 1997


    A Distortion-Invariant Pattern Recognition Algorithm

    Martin, T. / Kobel, W. G. / Rogers, S. K. et al. | SPIE | 1987