Simulink does not support loading the input data in file
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Hi,
I have created a matrix called PMAX.mat consisting of samples in the first row and values in the second row.
For example: 1 2 3 4 5 6 7 .... samples 3 2 1 5 6 4 3 .... values
I want to use this matrix for a from file block in my Simulink simulation.
Now I get always the same error message:
Simulink does not support loading the input data in file 'PMAX.mat'. For data saved using MAT file versions prior to 7.3, Simulink can only load two-dimensional arrays consisting of one-dimensional, double, noncomplex samples. To load data of any other type, complexity or dimension, use a timeseries object and save the file using MAT file version 7.3 or later. For example, use: 'save file_name -v7.3 timeseries_object'.
My preferences in Simulink are: 1. Steps from 1 to 525600 2. Fixed step size 1 3. Solver: discrete
Thanks for your help.
Philipp
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Accepted Answer
TAB
on 5 Sep 2012
From File block not supports Version 7.0 or earlier mat-file. Save your create a mat-file with the same date in the Version 7.3.
In the base workspace run below commands
clear all;
load('PMAX.mat');
delete('PMAX.mat');
save('PMAX.mat','-v7.3');
Run the simulation again.
2 Comments
bushra sultana
on 25 Sep 2020
how can we see the values in mat file on simulink... i used display block but it doesn't show the exact values...instead display the complete values from 0 to 255 for uint8 data type
More Answers (3)
Christian
on 3 Dec 2015
I had the same problem.
I had simply overlooked, that some of my value types were single.
But as i know know, it can only handle double typ.
So a typecast to double solved my problem in combination with the '-v7.3'-attribute.
Something like
PMAX=double(PMAX);
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jessupj
on 23 Dec 2019
Edited: jessupj
on 23 Dec 2019
It seems like there is also a problem with broadcasting between column and row vectors even after saving -v7.3 and converting to double.
Simulink can only load two-dimensional arrays or timeseries objects.
The array must consist of one-dimensional, double, noncomplex samples.
Calling X=X(:) before saving worked in my case (r2019a) and didn't require saving to -v7.3 or double conversion.
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