I'm working on a script to convert a Simulink library to a plain model, meaning it can be simulated, it does not auto-lock etc.
Is there a way to do this with code aside from basically copy-pasting every single block into a new model? And if it isn't, what is the most efficient way to do the "copy-paste".
I was not able to find any clues as how to approach this problem here, or on Google, or on the official documentation or on the MathWorks forum so I'm at a loss on how to proceed.
Thank you in advance!
I don't think it's possible to convert a library to a model, but you can programmatically add library blocks to models like so:
sys = 'testModel';
new_system(sys);
open_system(sys);
add_block('Simulink/Sources/Sine Wave', [sys, '/MySineWave']);
save_system(sys);
close_system(sys);
sim(sys);
You could even use the find_system command to list all the blocks in a library and then loop through them all and create a new model for each using the above code.
Related
We are in process to migrate our TB to UVM.
I am working on first IP that will be verified using UVM.
I have to find out if it is possible to reuse my uvm_sequences in SOC that remains in OVM mean time.
In case it is possible , like find example how it's done.
Thanks in advance.
You cannot mix OVM and UVM that way. You should be able to write your uvm_sequence in such a way that it work in both by simply changing your u's to o's. You would have to limit your sequence to functionality that exists in both.
If you use UVM RAL. there is a package that integrates that functionality back into OVM.
There is another package, ovm_container, that gives you the functionality of uvm_config_db.
I'm developing a Modelica library and need to produce a document with source code listings. I'd like to be able to include the source of the Modelica models without annotations.
I could manually edit them out, but I'm looking for a more automated strategy. I'm guessing the most convenient and straightforward approach is to use some tool to save .mo files with no annotations and include those in my document (I'm using \lstinputlisting in LaTeX).
Is it possible to do this? I have access to Dymola, OpenModelica and JModelica. Dymola is obviously capable of producing such a listing, as it's able to include it in the automatically generated documentation (File > Export > HTML...). I've been looking into scripting with Dymola and OpenModelica, but haven't found a way to do this either.
JModelica seems like it could be a good option, but I don't have experience working with Python. If this is possible and someone gives me some pointers, I'm willing to look into it myself. I found a mention to a prettyprint function that might do the job, but I'm not sure where to start. I can't even find reference to that function in the latest documentation.
It would also be more convenient for me to find a way of doing it with Dymola/OpenModelica (whether through the UI or by using a script). Have I missed something?
I think you could use saveTotalModel("total.mo", MyModelName) in OpenModelica. This will strip most annotations (not ones used for code generation if I remember correctly) and pretty-print the source code including all dependencies. Then you just copy-paste the models/packages that you want to include in the listing. Or if you prefer, you can do something like the following to only include code for a particular model:
loadModel(Modelica);
loadFile("MyModel.mo");
saveTotalModel("total.mo", MyModel.A.B);
clear();
loadFile(MyModel);
str := list(MyModel.A.B);
writeFile("MyModel.A.B.listing", str);
I am trying to run Omnet++ and matlab software in parallel and want them to communicate. When Omnet++ is running, I want to update the position of the node and for that I want to edit the .ned and .int files with matlab results continuously. During simulation I want to generate the result file using the updated files. I want just to update the position and don't want to add or delete any node. Please suggest me a way for proceeding?
matlab_loop
{
matlab_writes_position_in_ned_file;
delay(100ms);
}
omnet_loop
{
omnet_loads_ned_and_simulates;
//sca and vec should update;
delay(100ms);
}
Thank you.
NED and Ini files are read only during initialization of the model. You can't "read" them again after the simulation started. On the other hand, you are free to modify your parameters and create/delete modules using OMNeT++'s C++ API. What you want to achieve is basicaly: set your node position based on some calculations carried out by matlab code. The proper way to do it:
Generate C code from your matlab code.
Link that code to your OMNeT++ model
Create a new mobility model (assuming you are using INET) that is using the matlab code
What you are looking for seems to be more of a project rather than a question/problem which can be solved in Q&A site like stackoverflow.
Unfortunately, I have little understanding of matlab and V-REP to provide you a satisfactory answer. However, it seems that you will need to play around with APIs in lower levels.
As an example of coupling different simulation tools to form a simulation framework in case of need consider reading this paper and this
Also note the answer given by #Rudi. He seems to know what he is talking about.
Is there a way to know the functions involved in a demo on Matlab ? I mean starting from a function/Script demo can I have a tree of all involved files/functions on the current demo that has been called by the demo.
Look into depfun.
Quote from the documentation -
depfun Locate dependent functions of program file.
TRACE_LIST = depfun(FUN) returns a cell array of files of the dependent
functions of FUN.
An alternative, possibly more interactive, way to have a look at what has been used is to use the profiler:
profile on -history
% now run some code or function
profile off
profile viewer
not really what it was designed for but could be used in this way
need some help on this.
Currently I am doing a project on computer vision that requires me to train a new model to detect a certain object.
In this case, I am using the system provided by P. Felzenszwalb, D. McAllester, D. Ramaman and his team => Discriminatively trained deformable part models which is implemented in Matlab.
Project webpage: http://www.cs.uchicago.edu/~pff/latent/.
However I have no idea how to direct the system to use my dataset(a collection of images and annotation) which is different from the the PASCAL datasets so as to train a new model.
By directing, I meant a line of code that allows me to change the dataset the system reads from, for training a model.
E.g.
% directory for caching models, intermediate data, and results
cachedir = ['/var/tmp/rbg/YOURPATH/' VOCyear '/'];
I tried looking at their Readme and documentation guides but they do not make any mention. Do correct me if I am wrong.
Let me know if I have not made my problem clear enough.
I tried looking at some files such as global.m but no go.
Your help is much appreciated and thanks in advance!
You can try to read pascal.m in the DPM package(voc-release5), there are similar code working on VOC2007/2010 dataset.
There are plenty of parts that need to be adapted to achieve this. For example the voc_config has to be adapted in order to read from your files.
The same with the pascal_train.m function. Depending on the images and the way you parse them, this may require quite some time to adapt this function.
Other functions to consider:
imreadx
pascal_test
pascaleval