A question about Neural Plant Model in Neural Predictive Controller demo.
1 次查看(过去 30 天)
显示 更早的评论
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 个评论
采纳的回答
Greg Heath
2015-7-3
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 个评论
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Linear Plant Specification 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!