sabean / Koopman
Learning dynamical systems from data: Koopman
☆15Updated 4 years ago
Related projects: ⓘ
- Data-driven Koopman control theory applied to reinforcement learning!☆26Updated last year
- ☆51Updated 6 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆52Updated 4 months ago
- ☆13Updated 4 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆81Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆41Updated 3 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 2 years ago
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆26Updated last year
- Koopman Mode Decomposition☆70Updated 7 years ago
- Data-driven dynamical systems toolbox.☆62Updated 6 months ago
- ☆39Updated 3 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 3 years ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆30Updated 8 months ago
- Reduced Order Model Predictive Control☆17Updated 2 years ago
- A framework for neural network control of dynamical systems over graphs.☆52Updated last year
- Code for CDC2022 submission☆11Updated last month
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆37Updated 5 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆19Updated 3 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆111Updated 4 years ago
- ☆10Updated last year
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆13Updated 6 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆58Updated last year
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 4 years ago
- Bayesian System IDentification☆26Updated 6 years ago
- ☆27Updated last year
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆11Updated 2 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- ☆18Updated 2 years ago
- ☆14Updated 5 years ago