How can I import data from Excel for control MIMO system with narxnet function? I have 5 inputs and 1 output, each with 150 training data.

%%1. Importing data this is for SISO model
S = load('magdata');
X = con2seq(S.u);
T = con2seq(S.y);
%%2. Data preparation
N = 300; % Multi-step ahead prediction
% Input and target series are divided in two groups of data:
% 1st group: used to train the network
inputSeries  = X(1:end-N);
targetSeries = T(1:end-N);
inputSeriesVal  = X(end-N+1:end);
targetSeriesVal = T(end-N+1:end); 
%%3. Network Architecture
delay = 2;
neuronsHiddenLayer = 50;
% Network Creation
net = narxnet(1:delay,1:delay,neuronsHiddenLayer);
%%4. Training the network
[Xs,Xi,Ai,Ts] = preparets(net,inputSeries,{},targetSeries);

[Walter Roberson]

(No obvious reason to close this question.)

[Greg Heath]

The code in the text appears to be just an example from the documentation and has nothing to do with the OP's particular problem.

I agree with the OP for removal.

Answer 1

[Morteza Hajitabar Firuzjaei]

Dear Lejla,

for simplefy your work, convert your excel to .mat matlab file abd then import your multiple input multiple output data for inputs and targets using:

load('input.mat');

X = tonndata(inputData(:,(1:3)),false,false);

T = tonndata(inputData(:,1),false,false);

and then enjoy your code

sincerely,

Morteza Hajitabar Firuzjaei