We present in this article a T-S fuzzy logic theory combined with Adaptive Second-Order Nonsingular Terminal Sliding Mode Control ASONTSMC for autonomous vehicle modeling and lateral control. Firstly we present the dynamics of the vehicle by adopting the bicycle model which is difficult to study, secondly we show in details how to approximate a positive constant or a gain of the control law by using the T-S fuzzy logic algorithm associated with ASONTSMC, before concluding we confirm our approach by simulations performed on MATLAB.


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    Titel :

    Fuzzy Logic Based Adaptive Second-Order Nonsingular Terminal Sliding Mode Lateral Control for Uncertain Autonomous Vehicle


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Farhaoui, Yousef (Herausgeber:in) / Rocha, Alvaro (Herausgeber:in) / Brahmia, Zouhaier (Herausgeber:in) / Bhushab, Bharat (Herausgeber:in) / Abdillah, Moussa (Autor:in) / Belkheir, Ayoub (Autor:in) / Jennan, Najlae (Autor:in) / Mellouli, El Mehdi (Autor:in)

    Kongress:

    The International Conference on Artificial Intelligence and Smart Environment ; 2022 ; Errachidia, Morocco November 24, 2022 - November 26, 2022



    Erscheinungsdatum :

    08.03.2023


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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