In dymola, when I simulated a model, I got an error showing that the parameter for some function is wrong, and the log showed the function calling stack, so I changed to the "used classes" view to show all the code used, but I didn't find any usage of the function showed in the error message.
My question is that how should I find the usage of this function in my model?
For tph1 it is likely that the problem is that it is called indirectly, and called functions are as default not included in the "Used Classes", but that can be changed in the context menu of used classes (i.e. right-click):
(Note that the names in the dialog vary slightly depending on Dymola version.)
The function with a name ending in _der is likely an automatically generated derivative-function - based on the name before _der. (Using automatic/algorithmic differentiation.)
But using dsmodel.mof is also a possibility.
Related
I'm porting a large Simulink model from Simulink R2010a → R2017b.
The main model is basically a glue-layer for many interwoven reference models. My objective is to generate a standalone executable out of this main model using Coder.
Parameter tunability in this context is not done via the Signals and Parameters section on the Optimization tab in the Model Configuration Parameters dialog (as is the case in stand-alone models), but rather, via constructing Simulink.Parameter objects in the base workspace, and referencing those in the respective referenced models, or in their respective model workspaces.
Now, AFAIK, in R2010a it was enough to set
new_parameter.RTWInfo.StorageClass = 'Auto';
new_parameter.RTWInfo.CustomStorageClass = 'Define';
to make the parameter non-tunable and convert it into a #define in the generated code. In R2017b, this is no longer allowed; the StorageClass must be 'Custom' if you set a non-empty CustomStorageClass:
new_parameter.CoderInfo.StorageClass = 'Custom'; % <- can't be 'Auto'
new_parameter.CoderInfo.CustomStorageClass = 'Define';
But apparently, this does not make the parameter non-tunable:
Warning: Parameter 'OutPortSampleTime' of '[...]/Rate Transition1' is non-tunable but refers to tunable variables (Simulation_compiletimeConstant (base workspace))
I can't find anything in the R2017b documentation on making parameters non-tunable, programatically; I can only find how to do it in stand-alone models via the dialog, but that's not what I want here.
Can anyone point me in the right direction?
NOTE: Back in the day, Simulink Coder was called Real-Time Workshop (well, Real-time Workshop split into Coder and several other things), hence the difference RTWInfo vs. CoderInfo. Note that RTWInfo still works in R2017b, but issues a warning and gets converted into Coderinfo automatically.
In generated code it should appear as #define, the way you specified it.
https://www.mathworks.com/help/rtw/ug/choose-a-built-in-storage-class-for-controlling-data-representation-in-the-generated-code.html
Btw, yes, it's a bit confusing, because in m-file you specify CustomStorageClass = 'Define';, in GUI you specify Storage class as Define (custom), but in documentation they say Storage Class as Defined.
I am not sure why warning about tunability shows up.
I have a problem. I have an embedded function in my simulink model which has a structure (struct) as parameter. It contains only numerical values and I generate an S-Function of the embedded function by right clicking on the block and C/C++ code --> Generate S-function.
I then have the compiled block, if I try to change some values of my struct nothing changes (the fields of my struct stay the same as when I first compiled my embedded function).
When I compiled the embedded function block I selected the parameter to be tunable. I selected the parameter to be tunable in the Model Explorer. I tried to follow this video tutorial by mathworks: http://fr.mathworks.com/videos/tunable-structure-parameters-68947.html (The video is for r2010a while I am at r2015b) It is a bit different the interface in r2015b (from the one in the video) but when I click on Configure , like the guy does in the video, nothing happens.
Could you help me please?
Thanks a lot.
Once I had also decided to reduce the number of tunable parameters by checking the 'inline parameters' checkbox and then specifying the exception variables (variable that have the permission to be tunable even when 'inline parameters' is turned on. It did not work.
In case you aim does not heavily rely on optimization, it would be better if you simply turn off 'inline parameters'.
After that, the constant blocks (i suppose you are giving the input to your s-function from constant blocks) will become tunable.
Another advice: add mex in the init function of your model callbacks. It will save you from getting weird output (usually due to uncleared/un-reset variables from previous runs).
Hope it helps!
I would like to add a post-build hook to my code generation process. However, when I try to associate a function with the simulink model's PostCodeGenCommand, I get the following error.
set_param(bdroot, 'PostCodeGenCommand', 'packNGo(buildInfo);')
A configuration set reference does not allow writing to parameters in the source configuration set
I don't really understand the error message, and it doesn't bring up any useful hits on my favourite search engine. Can anyone help me decipher it?
Unfortunately, I could not reproduce this problem on a simple simulink model, even if I included a reference model. (I thought that might be what the word "reference" was, um, referencing in the error message. And I've noticed previously that referenced models are handled differently to other models in the simulink code generator.)
I'm using R2015a, but have access to the newer versions if that would help.
Note that this question was originally posted on the Matlab forum, but didn't get any answers.
It turns out that the model was using a "configuration reference" rather than storing its configuration internally. The Model Explorer provides the following description
Configuration Reference
A model may reference a 'Configuration set' that is defined in the
source location rather than stored in the model....
This is useful for us because we use several models which all share the same configuration set. It's saved in a central place and all updates apply immediately to all models.
The side effect is that bdroot no longer has a PostCodeGenCommand associated with it. Instead, the command I was looking for was
configurationSettings.set_param('PostCodeGenCommand', 'packNGo(buildInfo);')
where configurationSettings is a variable in your workspace, and the variable's name should match the "Referenced configuration set name" in the Model Explorer.
I am using Behavior Search to calibrate my NetLogo model for 20 different hospital units. I am using global variables to set the min and max for several sliders in my model, but I think this is causing an error in Behavior Search when I attempt to load the parameter values from the model. However, I don't want to manually enter these parameter ranges manually each time I use Behavior Search.
Is there a way to get around this error? Is there a way to set the min and max for a specific slider to a constant, rather than using global variables?
Thanks for your help!
BehaviorSearch developer here -- if I'm understanding your question correctly, your NetLogo model has a slider which has a min/max constraint that is not set to a constant, but is instead set to a global variable (in the slider settings, accessed from the NetLogo interface).
When I choose such a model using the BehaviorSearch GUI, and then click the "Load parameter ranges from model interface" button, then I get the value of 0 for that constraint. (I don't see any error message -- just the value 0 (if you're getting an error message instead, then I may not be understanding your situation correctly, and perhaps you could post exactly what error message you're seeing?)
This will be true even if you are setting the slider min/max to a global value in the special STARTUP procedure (see: http://ccl.northwestern.edu/netlogo/docs/dict/startup.html), because STARTUP is only run when a model loads in the NetLogo GUI, and not when a model is loaded in headless NetLogo.
Thus, unfortunately, I think the answer to your question is: "no, there isn't a way to get BehaviorSearch to load the parameter ranges from global variables within the model".
Some possible work-arounds:
BehaviorSearch is open-source -- some changes could be made to it -- i.e., maybe adding in a call to "startup" whenever BehaviorSearch GUI loads the parameter ranges would be sufficient for you.
If you're only doing a few searches, I don't see why manually editing the parameter ranges would be particularly onerous. However, if you're generating a lot of different searches with this model, then I can see how it might be an issue. The .bsearch files are just XML text files, so you might consider generating them without the BehaviorSearch GUI, e.g. using a scripting language.
Let us say that I have a Matlab function and I change its signature (i.e. add parameter). As Matlab does not 'compile' is there an easy way to determine which other functions do not use the right signature (i.e. submits the additional parameter). I do not want to determine this at runtime (i.e. get an error message) or have to do text searches. Hope this makes sense. Any feedback would be very much appreciated. Many thanks.
If I understand you correctly, you want to change a function's signature and find all functions/scripts/classes that call it in the "old" way, and change it to the "new" way.
You also indicated you don't want to do it at runtime, or do text searches, but there is no way to detect "incorrect" calls at "parse-time", so I'm afraid these demands leave no option at all to detect old function calls...
What I would do in that case is temporarily add a few lines to the new function:
function myFunc(param1, param2, newParam) % <-- the NEW signature
if nargin == 2
clc, error('old call detected.'); end
and then run the main script/function/whatever in which this function resides. You'll get one error for each time something calls the function incorrectly, along with the error stack in the Matlab command window.
It is then a matter of clicking on the link in the bottom of the error stack, correct the function call, and repeat from the top until no more errors occur.
Don't forget to remove these lines when you're done, or better, replace the word error with warning just to capture anything that was missed.
Better yet: if you're on linux, a text search would be a matter of
$ grep -l 'myFunc(.*,.*); *.m'
which will list all the files having the "incorrect" call. That's not too difficult I'd say...You can probably do a similar thing with the standard windows search, but I can't test that right now.
This is more or less what the dependency report was invented for. Using that tool, you can find what functions/scripts call your altered function. Then it is just a question of manually inspecting every occurrence.
However, I'd advise to make your changes to the function signature such that backwards compatibility is maintained. You can do so by specifying default values for new parameters and/or issuing a warning in those scenarios. That way, your code will run, and you will get run-time hints of deprecated code (which is more or less a necessary evil in interpreted/dynamic languages).
For many dynamic languages (and MATLAB specifically) it is generally impossible to fully inspect the code without the interpreter executing the code. Just imagine the following piece of code:
x = magic(10);
In general, you'd say that the magic function is called. However, magic could map to a totally different function. This could be done in ways that are invisible to a static analysis tool (such as the dependency report): e.g. eval('magic = 1:100;');.
The only way is to go through your whole code base, either inspecting every occurrence manually (which can be found easily with a text search) or by running a test that fully covers your code base.
edit:
There is however a way to access intermediate outputs of the MATLAB parser. This can be accessed using the undocumented and unsupported mtree function (which can be called like this: t = mtree(file, '-file'); for every file in your code base). Using the resulting structure you might be able to find calls with a certain amount of parameters.