jumlauft/LGRT4GPs

Stars
1
Language
Python
License
GNU General Publi...
Created about 4 years ago
Updated almost 4 years ago

jumlauft/LGRT4GPs

jumlauft

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Locally Growing Random Trees for Gaussian Processes

Safe-Online-Learning-for-Gaussian-Processes

The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas Umlauft and Sandra Hirche published in IEEE Transactions on Automatic Control in 2020.

Sum-of-Squares-for-Stable-GPSSMs

The provided code accompanies the following publication: "Learning Stable Gaussian Process State Space Models", American Control Conference (ACC), IEEE 2017.

Uncertainty-based-Control-Lyapunov-Functions

The code accompanies the publication "An Uncertainty-based Control Lyapunov Approach for Control-affine Systems Modeled by Gaussian Process" by Jonas Umlauft, Lukas Pöhler, Sandra Hirche published in IEEE Control Systems Letters (L-CSS) in 2018

Stable-Gaussian-Process-State-Space-Models

The code accompanies the manuscript "Learning Stochastically Stable Gaussian Process State-Space Models" by Jonas Umlauft and Sandra Hirche

GP-Error-Bounds-for-Safe-Control

The Matlab code accompanies the work "Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control" by Armin Lederer, Jonas Umlauft and Sandra Hirche published at the Conference on Neural Information Processing Systems (NeurIPS)

Uncertainty-based-Human-Motion-Tracking

The code accompanies the publication "Uncertainty-based Human Motion Tracking with Stable Gaussian Process State Space Models" by Lukas Pöhler, Jonas Umlauft, Sandra Hirche published at the 2nd IFAC Conference on Cyber-Physical&Human Systems 2018