Fuzzy logic based and machine learning enhanced vehicle dynamics determination is provided. A system can identify a previous longitudinal velocity and receive data from an inertia measurement unit. The system can determine a roll angle and a pitch angle. The system can determine a lateral acceleration and a longitudinal acceleration. The system can receive wheel speed sensor data, tire pressure sensor data, and steering angle sensor data, and use the data to determine a longitudinal velocity. The system can select one of a reduced-order non-linear Luenberger observer technique or a reduced-order Kalman filter technique. The system can determine a lateral velocity and a sideslip angle. The system can provide the lateral velocity and the sideslip angle to a vehicle controller.


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    Title :

    FUZZY LOGIC BASED AND MACHINE LEARNING ENHANCED VEHICLE DYNAMICS DETERMINATION


    Contributors:
    ZHOU XINGYU (author) / SHI JUNZHE (author) / TIAN MIN (author)

    Publication date :

    2021-05-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion





    Refining Fuzzy Logic Controllers with Machine Learning

    United States; National Aeronautics and Space Administration | British Library Conference Proceedings | 1993