Linearization error "NaN's cannot be converted to logicals"

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Hossein Rezazadeh on 9 Aug 2018
Edited: Ahmed Elgohary on 5 Mar 2022
I get the error. " NaN's cannot be converted to Logicals" when trying to linearize my model. The model runs actually with no problem. the problem arises only when linearizing the model in control design. I don't know what exactly simulink does during linearazation that causes this error.
Walter Roberson on 9 Aug 2018

Adam Danz on 9 Aug 2018
v = [1 0 1 1 0 NaN 0 1 0 0];
logical(v)
Error using logical
NaN's cannot be converted to logicals.
My guess is that you're using logical() to convert a variable with 0s and 1s that also have NaN values.
If that's the case, you need to decide whether NaNs should be a 0 or a 1. In this example, I set NaNs to 0.
v = [1 0 1 1 0 NaN 0 1 0 0];
v(isnan(v)) = 0;
logical(v)
Or you can remove the NaNs
v = [1 0 1 1 0 NaN 0 1 0 0];
v(isnan(v)) = [];
logical(v)
Tim on 8 Dec 2018
Hi, could you please explain how exactly you added v(isnan(v)) = []; to the block output?

Welid Benchouche on 4 Jan 2019
hello guys, can you please help me , i get the same error on model predictive control when linearizing Rc=0.15
Apicha Kittirattanachai on 21 Aug 2020
please kindly explain "integrators in your model they should be responsible for "NaNs" "
How are integrators setting for response the NaN value ?
My problem is appear in mpc toolbox when linearize of toolbox.
Thankyou.

Ahmed Elgohary on 5 Mar 2022
Edited: Ahmed Elgohary on 5 Mar 2022
Well, i got the same error with model predictive control during linearization and i could solve the problem by changing the range of simulink operating point as shown at the figure. So it was from [0 1] and i made it from [0.1 1] for example as you want for the upper limit but the main problem was related to using zero for lower limit during the linearization.

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