Ilya Orson Sandoval
I am a PhD student in Imperial College working at the intersection of reinforcement learning, optimal control and process systems engineering. Previously, I worked in data science and software engineering within the energy and food industries in Mexico. I have a background in physics.
We explore the neural ODE approach to solve nonlinear optimal feedback control problems with constraints using DiffEqFlux.
The original controls of the problem definition are substituted by the output of a neural network feedback policy whose parameters become the new control variables.
Constraint satisfaction is enforced on the states with barrier methods, while constraints in controls are enforced by saturation from the last activation of the neural controller.