Why I do not have States or Inputs when using findop?

I am trying to linearize a Simulink model of a Neural Network and I am having problems when setting the operating points. I set the Inputs and Outputs and compile the Simulink model, but then when I use 'findop' there are neither states nor Inputs and I get an error saying 'There are no free variables to optimize. Free either a state or an input.'.

How can I create/find operating Points?

This is the code:

>> sim1

Model Compilation for sim1 successful.

>> sim1_io(1)=linio('sim1/From Workspace',1,'input');

>> sim1_io(2)=linio('sim1/NN',1,'output');

>> setlinio('sim1',sim1_io);

>> sim1

>> opsim = findop('sim1',1)

   Operating Point for the Model sim1.
   (Time-Varying Components Evaluated at time t=1)

States: None 
----------

Inputs: None 
----------
>> opspec=operspec('sim1');

>> opspec=operspec('sim1');

>> opspec=initopspec(opspec,opsim);

>> opss=findop('sim1',opspec);

There are no free variables to optimize.  Free either a state or an
input.

Answer 1

[Arkadiy Turevskiy]

States comes from blocks such as integrators or transfer functions or state space systems. In a neural net I don't think you have any integrators, and therefore you are not getting any states.

What is it that you are trying to do, I mean, can you explain why you need to trim your model?