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.
THE USE OF NEURAL NETWORKS IN CONTROL SYSTEMS
VERWENDUNG VON NEURONALEN NETZWERKEN IN STEUERUNGSSYSTEMEN
UTILISATION DE RÉSEAUX NEURONAUX DANS DES SYSTÈMES DE COMMANDE
2022-05-25
Patent
Electronic Resource
English
Applications of neural networks to control systems
AIAA | 1992
|Neural Networks and Genetic Algorithms in Machinery Control Systems
British Library Conference Proceedings | 1997
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