Pytorch implementation of EDMDDL [1] and learning parametric Koopman decomposition [2]. Comprehensive documentation can be found here, examples can be found in the example folder.

Quick Start

You can set up the environment and install this package by running the following commands:

git clone https://github.com/ReichtumQian/ParamKoopmanDL.git
cd ParamKoopmanDL

# (Optional) Create a new environment
conda create -n KoopmanDL
conda activate KoopmanDL

# By default using CPU
pip install -r requirements.txt
pip install .

You can check out the Quick Start and examples in the example folder for more details.

References

[1] Li, Q., Dietrich, F., Bollt, E. M., & Kevrekidis, I. G. (2017). Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(10), 103111.

[2] Guo, Yue, Milan Korda, Ioannis G. Kevrekidis, and Qianxiao Li. "Learning Parametric Koopman Decompositions for Prediction and Control." arXiv preprint arXiv:2310.01124 (2023).