mpcrl-process

This data contains source code for reproducing all experiments and results in the publication. This research proposes a novel method of online performance monitoring and online adaption for MPC controllers, leveraging both reinforcement learning and system identification. The data consists of python files that are used to run the control simulations and generate time series data of the simulated systems.