Not have enough information to determine output sizes
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Dear all,
My Problem:
Simulink does not have enough information to determine output sizes for
this block. If you think the errors below are inaccurate, try specifying
types for the block inputs and/or sizes for the block outputs.
The idea:
I have an Input Parameter with two Information 1x2 Matrix using only the second Information in this example, but it does not work.
My Simulink realisation with Threashold (Switch1 = 80) and InitialCondition (Memory2 = 50):
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/165716/image.jpeg)
The MATLAB Function contains:
function y = fcn(u)
persistent y_
if isempty(y_)
y_ = 50;
end
y = y_ + u(2,1) - 20;
y_ = y;
My question:
How can I handle this problem? Why is the output of my MATLAB Function and Memory2 not defined as "1"? Can I define the output variable to fix this problem?
0 件のコメント
採用された回答
Kaustubha Govind
2014 年 7 月 15 日
I think it is the loop in your model that is confusing Simulink propagation. You may want to insert a Signal Specification block right before the MATLAB Function block, and specify the signal dimensions.
その他の回答 (2 件)
Azzi Abdelmalek
2014 年 7 月 15 日
In your function you are using the second element of u, remove the mux block, and just connect the switch output to your function.
2 件のコメント
omar sheishaa
2018 年 12 月 9 日
i have a problem while depolying the below model on android device "Simulink cannot determine sizes and/or types of the outputs for block 'slexHARAndroidExample/predictActivity' due to errors in the block body, or limitations of the underlying analysis. The errors might be inaccurate. Fix the indicated errors, or explicitly specify sizes and/or types for all block outputs." although it worked before
my model is as below
![Capture.PNG](https://www.mathworks.com/matlabcentral/answers/uploaded_files/198628/Capture.png)
also below is the code of the "predictactivity" block
function y = predictActivity(u)%#codegen
% predictActivity - predict human activity based on trained model stored in
% EnsembleModelAndroid.mat file.
% Copyright 2017 The MathWorks, Inc.
persistent mdl;
if isempty(mdl)
mdl = loadCompactModel('EnsembleModel.mat');
end
y = predict(mdl,u);
end
0 件のコメント
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