|
NEURAL PREDICTIVE CONTROL TOOLBOX FOR CACSD IN MATLAB ENVIRONMENT
Jesús M. Zamarreño
Dpt. System Engineering and Automatic Control. University of Valladolid
This paper describes a neural predictive control toolbox developed in Matlab/Simulink environment. The application permits all phases of the system design: simulation of the plant by means of any Simulink model, loading of input/output data, definition of the neural network architecture, training, and, finally, application of the predictive control strategy based on the neural network model.
Keywords: Computer-aided control systems design, Predictive control, Model-based control, Neural control, Neural networks
Session slot T-Fr-A05: Applications of CACSD/Area code 5c : Computer Aided Control Systems Design
 | 