A deep learning-based approach to robust nonlinear model predictive control

Dealing with uncertainties is one of the most challenging issues that prevent nonlinear model predictive control (NMPC) from being a widespread reality. Many different robust schemes have been presented recently, such as multi-stage NMPC, in which the uncertainty is represented as a scenario tree. W... View More