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We propose a novel learning framework for Koopman operator of nonlinear dynamical systems that is informed by the governing equation and guarantees long-time stability and robustness to noise.

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Requires

  1. Windows 7 or greater or Linux.
  2. Python 3.8.
  3. The installation path must be in English.

Installation

# Please make sure not to include Chinese characters in the installation path, as it may result in a failed execution.
# clone DSAC-T repository
git clone git@github.com/orgs/csml-rpi/stirk
cd stirk
# create conda environment
conda env create -f dmpc.yml
conda activate dmpc
# install dmpc
pip install -e.

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We propose a novel learning framework for Koopman operator of nonlinear dynamical systems that is informed by the governing equation and guarantees long-time stability and robustness to noise.

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