Cafolkes / keedmdLinks
Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model using Koopman Eigenfunction Extended Dynamic Mode Decomposition (KEEDMD).
☆28Updated 2 years ago
Alternatives and similar repositories for keedmd
Users that are interested in keedmd are comparing it to the libraries listed below
Sorting:
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆46Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- ☆24Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆43Updated 2 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆32Updated last year
- ☆72Updated 7 years ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- Reduced Order Model Predictive Control☆24Updated 3 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Python simulation and hardware library for learning and control☆20Updated 2 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆75Updated last year
- Soure code for Deep Koopman with Control☆85Updated 3 years ago
- ☆14Updated 4 months ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆107Updated last year
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- ☆19Updated 5 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆53Updated 2 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆63Updated 8 months ago
- ☆16Updated 3 years ago
- Koopman operator☆27Updated 5 years ago
- ☆44Updated 3 years ago
- Code for CDC2022 submission☆11Updated 4 months ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆142Updated 5 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆90Updated 4 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago