EthanJamesLew / AutoKoopmanLinks
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
☆81Updated last year
Alternatives and similar repositories for AutoKoopman
Users that are interested in AutoKoopman are comparing it to the libraries listed below
Sorting:
- Koopman Reduced-Order Nonlinear Identification and Control☆92Updated 5 years ago
- ☆78Updated 7 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Updated 2 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆49Updated 5 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆156Updated 5 years ago
- ☆45Updated 4 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆129Updated 2 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆29Updated 2 years ago
- Data-driven dynamical systems toolbox.☆78Updated last month
- A general-purpose Python package for Koopman theory using deep learning.☆116Updated 2 months ago
- Koopman operator☆28Updated 5 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- A framework for neural network control of dynamical systems over graphs.☆56Updated 3 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- Learning Koopman operator by EDMD with trainable dictionary☆27Updated 3 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆63Updated 7 months ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆33Updated 3 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆85Updated last year
- Repository for Koopman based learning and nonlinear control☆51Updated 2 years ago
- ☆15Updated 9 months ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆19Updated 2 years ago
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆11Updated 3 years ago
- ☆21Updated 4 years ago
- ☆293Updated 5 years ago
- Model-based Control using Koopman Operators☆56Updated 5 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆24Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆99Updated 2 months ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆66Updated 2 years ago