How to connect simulink real-time(or step-by-step) control with python for RL
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I'm trying to connect simulink model with python to control the model with Reinforcement learning
For this, I need to simulate a few timesteps (for example, 0.01hr)
then python reads current states and sets the control value by using policy / also learning and optimizing policy
I am currently using the pause method with matlab engine API:
By using clock and assertion block, if simulation time reaches that specific interval(0.01hr), simulation pauses
python checks the simulation status constantly, and if simulation is paused, it reads state values, set control, learns
and then resume simulation.
This works quite well, but repeatedly pausing simulation spends too much time.
Doing 5hr simulation 6000 times takes 3 whole days.
Is there any way better/faster?
I tried TCP-IP connecting but I don't have lincense for corresponding toolbox and I think control action cannot be applied for every fixed timestep for its real-timedness.
Thanks in advance.