Dynamic-Systems-and-GP / GPdynLinks
Gaussian Process Model Dynamic System Identification Toolbox for Matlab
☆94Updated 8 years ago
Alternatives and similar repositories for GPdyn
Users that are interested in GPdyn are comparing it to the libraries listed below
Sorting:
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 8 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆158Updated 5 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆67Updated 2 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆62Updated 3 years ago
- ☆80Updated 7 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆49Updated 4 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆93Updated 5 years ago
- Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart☆226Updated 5 years ago
- ☆296Updated 5 years ago
- Koopman operator☆28Updated 6 years ago
- Model-based Control using Koopman Operators☆57Updated 5 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Updated 6 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆139Updated last month
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆81Updated last year
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆29Updated 3 years ago
- Subspace methods for MIMO system identification☆66Updated 6 years ago
- MPC with Gaussian Process☆233Updated 6 years ago
- Data Driven Reachability Analysis from Noisy Data☆35Updated last year
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆25Updated 5 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆73Updated 5 months ago
- Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems☆13Updated 6 years ago
- Learning-Based Model Predictive Control (LBMPC)☆113Updated 6 years ago
- Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC☆22Updated 8 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 5 years ago
- ☆27Updated 4 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆27Updated 3 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆82Updated 5 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆65Updated 9 months ago
- Repository for Koopman based learning and nonlinear control☆52Updated 3 years ago
- ☆17Updated 2 years ago