dekovski / Koopman_LyapunovView external linksLinks
Code for CDC2022 submission
☆11Sep 1, 2025Updated 5 months ago
Alternatives and similar repositories for Koopman_Lyapunov
Users that are interested in Koopman_Lyapunov are comparing it to the libraries listed below
Sorting:
- Neural Koopman Lyapunov Control☆26May 5, 2023Updated 2 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆14Apr 5, 2023Updated 2 years ago
- ☆16Jan 24, 2024Updated 2 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆17Sep 28, 2020Updated 5 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Oct 10, 2023Updated 2 years ago
- ☆20Nov 26, 2020Updated 5 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆22Sep 11, 2023Updated 2 years ago
- ☆22Jul 30, 2021Updated 4 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
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆49Nov 15, 2020Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆81May 7, 2024Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Mar 30, 2022Updated 3 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Apr 18, 2019Updated 6 years ago
- ☆15Feb 11, 2025Updated last year
- Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetri…☆18Mar 19, 2025Updated 10 months ago
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16May 25, 2022Updated 3 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
- ☆26Mar 14, 2024Updated last year
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆24Jan 25, 2024Updated 2 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆20Dec 12, 2022Updated 3 years ago
- ☆27Jan 12, 2022Updated 4 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25May 5, 2021Updated 4 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆24Jul 18, 2023Updated 2 years ago
- A Python package to learn the Koopman operator.☆69Feb 6, 2026Updated last week
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆29Sep 20, 2021Updated 4 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28May 3, 2024Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆73Sep 3, 2025Updated 5 months ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Aug 23, 2023Updated 2 years ago
- Consistent Koopman Autoencoders☆75May 23, 2023Updated 2 years ago
- ns3-simulator-for-satellite☆11Jul 29, 2022Updated 3 years ago
- ☆80May 3, 2018Updated 7 years ago
- ☆16May 31, 2024Updated last year
- Koopman Reduced-Order Nonlinear Identification and Control☆93Apr 14, 2020Updated 5 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆93Apr 5, 2021Updated 4 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆45May 6, 2024Updated last year
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆44Oct 23, 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
- Tube-Based Zonotopic Data Driven Predictive Control☆11Nov 23, 2022Updated 3 years ago