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

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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.

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Adam Danz
Adam Danz el 9 de Ag. de 2018
This will replicate your error:
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)
  4 comentarios
Hossein Rezazadeh
Hossein Rezazadeh el 9 de Ag. de 2018
Ok I got it. Apparently during the linearazation some numerical perturbation is fed to the block as input which causes "NAN" at the block output and this was triggering this error. adding v(isnan(v)) = []; to the block output solved the problem.
Tim
Tim el 8 de Dic. de 2018
Hi, could you please explain how exactly you added v(isnan(v)) = []; to the block output?

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Más respuestas (3)

Barton Bacon
Barton Bacon el 24 de Oct. de 2023
This just happened to me and the culprit was a square root block I had recently added to a simulation.... believe it or not. Changing the square root block to a power block and using .5 as the exponent for some reason allowed the linearization to proceed without the "NaN's cannot be converted into logicals" error. MATHWORKS what the heck is going on in the square root and reciprocal square block that would produces this problem in linearization? Those blocks linearize fine by themshelves in a their own block diagram. In a complicated simulation, not so much apparently.

Welid Benchouche
Welid Benchouche el 4 de En. de 2019
hello guys, can you please help me , i get the same error on model predictive control when linearizing Rc=0.15
  2 comentarios
Hossein Rezazadeh
Hossein Rezazadeh el 4 de En. de 2019
Editada: Hossein Rezazadeh el 4 de En. de 2019
This happens in MPC when your model sends "NaN" to the "mo" inport of the MPC block.
As you have integrators in your model they should be responsible for "NaNs".
Either change the operating point at which you are linearizing the model or change the solver or max step size.
Apicha Kittirattanachai
Apicha Kittirattanachai el 21 de Ag. de 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.

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Ahmed Elgohary
Ahmed Elgohary el 5 de Mzo. de 2022
Editada: Ahmed Elgohary el 5 de Mzo. de 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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