10 times better.
We successfully implemented a reinforcement learning-based feedback controller that suppresses the disturbances caused by variations in the pressure of the source as well as variations caused due to production tolerances of the pump itself.
The trained controller suppresses the disturbance better than the traditional controller. This results in less peaking of the flow while the pump is in use during a medical procedure.