### A Neural Network Architecture to Learn Explicit MPC Controllers from Data. (arXiv:1911.10789v1 [eess.SY])

We present a methodology to learn explicit Model Predictive Control (eMPC) laws from sample data points with tunable complexity. The learning process is cast in a special Neural Network setting where the coefficients of two linear layers and a parametric quadratic program (pQP) implicit layer are optimized to fit the training data. Thanks to this…