A neural network control system and method includes vehicle sensors in communication with a neural network controller in a vehicle. The neural network (NN) operates in at least two modes: a training mode and a control mode. The NN consists of at least computational five layers the layers containing a plurality of neurons. Sensor data is received by an NN controller and processed through the layers where each of the neurons applies a weight to the sensor data. In the training mode the weights are continuously adjusted until a threshold difference between a known reference signal and a plant output is achieved. In the control mode, the NN controller continuously and recursively sends a control signal commanding the plant to adjust an actuator position in response to the sensor data until a disturbance in the sensor data is substantially eliminated.


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    Title :

    THE USE OF NEURAL NETWORKS IN CONTROL SYSTEMS


    Additional title:

    VERWENDUNG VON NEURONALEN NETZWERKEN IN STEUERUNGSSYSTEMEN
    UTILISATION DE RÉSEAUX NEURONAUX DANS DES SYSTÈMES DE COMMANDE


    Contributors:

    Publication date :

    2022-05-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B60G VEHICLE SUSPENSION ARRANGEMENTS , Radaufhängungen und Federungen für Fahrzeuge / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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    SCHAECHTER, DAVID / RAUCH, HERBERT | AIAA | 1992




    Neural Networks and Genetic Algorithms in Machinery Control Systems

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