This paper presented a driver steering controller using an idea of target position. A fuzzy neural system was applied to design the driver's decision-making process in tracking a target position. A cubic B-spline curve was then employed to generate more flexible paths of lane change to a target position. Additionally, in order to achieve the desired controlling performance, the parameters of the fuzzy neural network were tuned using a new iterative learning control (ILC) mixed time-domain and iteration-domain adaptation. Results from the simulation of the obstacle avoidance show that the tracking error gradually converges to zero as the iteration times increasing.


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    Titel :

    An iterative control for driving model based on fuzzy neural network


    Beteiligte:
    Tang, Jin-jun (Autor:in) / Wang, Guo-zhong (Autor:in) / Liu, Fang (Autor:in) / Tang, Jin-min (Autor:in)


    Erscheinungsdatum :

    2010


    Format / Umfang :

    5 Seiten, 19 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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