Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.
☆29Sep 20, 2021Updated 4 years ago
Alternatives and similar repositories for koopman-realizations
Users that are interested in koopman-realizations are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Apr 5, 2023Updated 2 years ago
- ☆23Jul 30, 2021Updated 4 years ago
- ☆11Dec 7, 2021Updated 4 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Oct 10, 2023Updated 2 years ago
- ☆17May 31, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A repository for an online adaptive Koopman algorithm described for the paper titled "Adaptive Koopman Architectures for Control of Compl…☆24Jun 11, 2025Updated 9 months ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆51Nov 15, 2020Updated 5 years ago
- ☆17Jan 24, 2024Updated 2 years ago
- Soure code for Deep Koopman with Control☆108Jun 19, 2022Updated 3 years ago
- Repository for Koopman based learning and nonlinear control☆51Dec 8, 2022Updated 3 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Apr 18, 2019Updated 6 years ago
- ☆81May 3, 2018Updated 7 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆20Aug 5, 2020Updated 5 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆20Dec 12, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Develop a Koopman operator based MPC for controlling a quadrotor☆76Sep 3, 2025Updated 6 months ago
- Code for CDC2022 submission☆11Sep 1, 2025Updated 6 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆81May 7, 2024Updated last year
- Neural Koopman Lyapunov Control☆27May 5, 2023Updated 2 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆10May 21, 2018Updated 7 years ago
- A sum-of-squares toolbox for stability analysis☆10Dec 4, 2024Updated last year
- Orientation estimation for IMUs using multi-kernel maximum Correntropy Kalman filter☆12Sep 7, 2022Updated 3 years ago
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆14Sep 1, 2025Updated 6 months ago
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16May 25, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28May 3, 2024Updated last year
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆83Mar 4, 2020Updated 6 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆31Dec 8, 2022Updated 3 years ago
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆13Jul 13, 2024Updated last year
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆16Mar 4, 2024Updated 2 years ago
- ☆23Jun 2, 2022Updated 3 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…☆12Sep 24, 2020Updated 5 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Aug 23, 2023Updated 2 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆94Apr 14, 2020Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for robust tube MPC simulation☆20Dec 18, 2018Updated 7 years ago
- Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems☆13Nov 4, 2019Updated 6 years ago
- ☆27Jan 12, 2022Updated 4 years ago
- Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.☆34Nov 24, 2025Updated 4 months ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆26May 5, 2021Updated 4 years ago
- Code for the book☆80Feb 18, 2023Updated 3 years ago
- Thesis retrieval☆92Oct 23, 2021Updated 4 years ago