srl-ethz / DeSKO-Deep-Stochastic-Koopman-OperatorLinks
☆14Updated 5 months ago
Alternatives and similar repositories for DeSKO-Deep-Stochastic-Koopman-Operator
Users that are interested in DeSKO-Deep-Stochastic-Koopman-Operator are comparing it to the libraries listed below
Sorting:
- Repository for Koopman based learning and nonlinear control☆49Updated 2 years ago
- Soure code for Deep Koopman with Control☆88Updated 3 years ago
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- ☆73Updated 7 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆66Updated 9 months ago
- ☆19Updated 4 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆114Updated last year
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Updated last year
- ☆14Updated last year
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆74Updated 5 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆75Updated 9 months ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆61Updated 2 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆26Updated last year
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆47Updated 4 years ago
- ☆48Updated last year
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆21Updated 7 months ago
- ☆13Updated last year
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆63Updated last year
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- Stochastic Optimal Control in Robotics Project☆18Updated 6 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆65Updated 4 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆148Updated 5 years ago
- ☆14Updated 4 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆25Updated 3 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆28Updated last year
- Lyapunov-stable Neural Control for State and Output Feedback☆72Updated last year
- ☆22Updated 4 years ago