A system for learning-model predictive control (LMPC) with multi-step prediction for motion control of a vehicle includes sensors and actuators. One or more control modules each having a processor, a memory, and input/output (I/O) ports are in communication with the sensors and actuators, the processor executing program code portions stored in the memory. The program code portions cause the sensors and actuators to obtain vehicle state information, receive a driver input, and generate a desired dynamic output based on the driver input and the vehicle state information. A program code portion estimates actions of the actuators based on the vehicle state information and the driver input, and utilizes the vehicle state information, the driver input, and the estimated actions of the actuators to select one or more models of a physics-based vehicle model and a machine-learning model of the vehicle to selectively adjust commands to the actuators.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    LEARNING-MODEL PREDICTIVE CONTROL WITH MULTI-STEP PREDICTION FOR VEHICLE MOTION CONTROL


    Beteiligte:

    Erscheinungsdatum :

    2024-05-30


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    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




    MACHINE LEARNING-BASED PREDICTIVE DYNAMICS FOR VEHICLE MOTION CONTROL

    ZENG SHUQING / ZHANG YUBIAO / LITKOUHI BAKHTIAR B | Europäisches Patentamt | 2024

    Freier Zugriff

    Machine learning based predictive dynamics for traffic vehicle motion control

    ZENG SHUQING / ZHANG YUBIAO / LITKOUHI BAKHTIAR B | Europäisches Patentamt | 2024

    Freier Zugriff