jumlauft/Stable-Gaussian-Process-State-Space-Models

Stars
3
Rank 3,963,521 (Top 79 %)
Language
MATLAB
License
Other
Created almost 5 years ago
Updated over 4 years ago

jumlauft/Stable-Gaussian-Process-State-Space-Models

jumlauft

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

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

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

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)

LGRT4GPs

Locally Growing Random Trees for Gaussian Processes

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