Code underlying: Implementation of explicit and switched MPC using data-driven surrogate models

Python codes to implement explicit and switched MPC using data-driven surrogate models.The python files starting with PDMPC are for generating PDMPC results to train surrogate models.O_results_check and W_results_check files are for arranging results from the explicit MPC surrogate model and switched MPC surrogate model, respectively.W_ML.py is to build and test the switched MPC surrogate model, and O_DNN_hyper_opt.py is to find the optimal hyperparameters for the explicit MPC surrogate model as well as to train it.The datasets for this research are included.