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Performance-oriented model learning for control via multi-objective Bayesian optimization

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Mesbah-Lab-UCB/Performance-Oriented-DNN-MPC

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Performance-Oriented-DNN-MPC

This repository contains code used in the paper <insert title> by <insert authors>. The full paper can be found here: <insert link>.

Overview of files

Detailed documentation for the code can be found in the text cells of the Jupyter notebooks. Here, we provide a short overview of the files.

  • main.ipynb: This is the main file that builds the optimal control problem (OCP) and then solves it in closed-loop, yielding the required model predictive controller (MPC).
  • ResNet.ipynb : @George, please add a short description.
  • ResNetExplicit : @George, please add a short description.

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