MATLAB: NARX for Multi Input Multi Output system Identification

Deep Learning Toolboxmimo narxnetneural networkneural networks

Hello, Can anyone please help how to use NARX method from the Neural Networks Tool box to perform system identification for a system that has Multi inputs Multi Outputs.Thanks.

Best Answer

1. Write and test your code assuming SISO

2. Convert to MIMO and test

3. If you have problems or questions, post relevant code and error messsages

Hope this helps.

Thank you for formally accepting my answer

Greg

Related Solutions

MATLAB: How to use neural network for multi step ahead prediction

Increase the number of feedback delays.

Hope this helps

Thank you for formally accepting my answer

Greg

MATLAB: How to set up weights/bias of the NARX neural network

You are concentrating on the wrong stuff. The most important things are (assuming a SINGLE hidden layer)

 1. Obtain a good set of crosscorrelation delays for ID (e.g., using NNCORR)
 2. Obtain a good set of autocorrelation delays for FD (e.g., using NNCORR)
 3. Given ID and FD, find the smallest successful value for H considering 
    ~ 10 different random weight initialization trials for each H candidate.

MATLAB defaults will take care of the rest. Search for my openloop examples

 greg nncorr narxnet
 greg narxnet

Then consider closing the feedback loop

 greg closeloop

Hope this helps.

Thank you for formally accepting my answer

Greg

Best Answer

Related Solutions

MATLAB: How to use neural network for multi step ahead prediction

MATLAB: How to set up weights/bias of the NARX neural network

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