A question about Neural Plant Model in Neural Predictive Controller demo.
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Mat
el 2 de Jul. de 2015
Respondida: Greg Heath
el 3 de Jul. de 2015
Hello.
There is one thing about the matlab neural predictive controller example that I am not sure of. So basically the very first thing to do would be 'building' a neural plant model, right? Let's say my plant has one input and one output, I have already gathered a training data set. But why is it that the inputs on the neural network consist of delayed inputs and outputs only and there is no normal input value?
I mean, shouldn't I feed my network with the very first input value from my training data set and compare the network output with my training data set output value? Please explain this matter to me if you will.
Yours truly, Mat
0 comentarios
Respuesta aceptada
Greg Heath
el 3 de Jul. de 2015
Good point. That is one of my gripes.
In particular, for TIMEDELAYNET and NARXNET, the default input delays should include 0:
net1 = timedelaynet( 0:2 );
net2 = narxnet( 0:2, 1:2 );
net3 = narnet( 1:2 );
Obviously, you cannot have a 0 feedback delay. If you try it, it will work in the open-loop configuration but will BOMB when you close the loop.
Hope this helps.
Thank you for formally accepting my answer
Greg
0 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Linear Plant Specification en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!