HildoBijl / GPRT
Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
☆69Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for GPRT
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆88Updated 7 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆120Updated 4 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆83Updated 4 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆37Updated 6 years ago
- System indetification of Ship Dynamic System with Multi Output Gaussian Processes☆16Updated 4 years ago
- ☆57Updated 6 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆45Updated last year
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆83Updated last year
- Koopman operator☆25Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆58Updated 6 months ago
- Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC☆16Updated 7 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆39Updated 3 years ago
- ☆41Updated 3 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆70Updated 3 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated last year
- ☆14Updated 5 years ago
- All the code needed to learn models from data using Koopman operator approach.☆10Updated 5 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆17Updated 3 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆45Updated 6 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆14Updated 5 months ago
- Bayesian System IDentification☆27Updated 6 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆20Updated 2 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆17Updated 4 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆40Updated 5 years ago
- ☆19Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆16Updated 4 years ago
- Gaussian Process Regression using GPML toolbox☆28Updated 4 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆26Updated last year
- ☆20Updated 3 years ago
- Data-Driven Predictive Control☆56Updated 8 months ago