A safety governor for learning explicit MPC controllers from data

Anjie Mao, Zheming Wang, Hao Gu +2

We tackle neural networks (NNs) to approximate model predictive control (MPC) laws. We propose a novel learning-based explicit MPC structure, which is reformulated into a dual-mode…