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.
USE OF NEURAL NETWORKS IN CONTROL SYSTEMS
2022-05-19
Patent
Electronic Resource
English
IPC: | G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / 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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
Applications of neural networks to control systems
AIAA | 1992
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British Library Conference Proceedings | 1997
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