mhe

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python

Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

『PythonとCasADiで学ぶモデル予測制御』 サポートサイト

Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.

MHE Interview Problem

NeuralMPCX is a Python library for building and deploying Model Predictive Controllers with linear, nonlinear, and neural dynamics. The software interfaces CasADi and IPOPT to solve constrained optimal control problems with recurrent neural networks (RNN, LSTM) and state-space systems.