brazilbruno

Results 6 comments of brazilbruno

Allowing updating state variables after initialization, for Hybrid Co-Simulation

@KarlWernersson @AndreasPfeiffer I'm not sure if this is the right place to ask. I am trying to implement a UKF using a co-simulation FMU exported from Dymola, and imported in...

Run FMU in parallel and avoid initialization for unscented Kalman Filter?

Sure, that works in the example I stated above as well. The problem is that for every function call of "simulate_fmu()", I instantiate the fmu every time. I haven't found...

Run FMU in parallel and avoid initialization for unscented Kalman Filter?

Dear @m-kormann, I am not sure I understand your suggestion. For the extended Kalman filter, this makes sense. But for the UKF, where you need to simulate the FMU at...

Run FMU in parallel and avoid initialization for unscented Kalman Filter?

@t-sommer I see that, but when creating a list of tuples with the necessary inputs for the function and trying to use the starmap function of multiprocessing.Pool(), it still says...

Run FMU in parallel and avoid initialization for unscented Kalman Filter?

Here a modified version of [this example](https://github.com/CATIA-Systems/FMPy/blob/main/fmpy/examples/parameter_variation.py) that I was hopeful would work ```python """ Parallel example modified """ import dask from dask import bag, array from dask.diagnostics import ProgressBar...

Run FMU in parallel and avoid initialization for unscented Kalman Filter?

And here is another example, this time trying to use the recommended simulate_fmu() function: ```python import numpy as np import fmpy from fmpy import read_model_description, extract, simulate_fmu, instantiate_fmu from fmpy.fmi2...