System identification via CUR-factored Hankel approximation

Implements the Eigensystem Realization Algorithm (era.m) from Kung where the Hankel matrix is approximated via CUR-factorization. Example is the same as in the paper. If you are only interested in CUR code, you can use crossApprox.m and maxvol.m

Lifting, Transformations, and Operator Inference (OpInf)

The operator inference frameowork was first established in [01] and we have since combined it with lifting and state transformations to be applicable to a large class of nonlinear non-polynomial systems. Here are some codes for these works:

• The ROM Operator Inference code is available as a PyPi package: https://pypi.org/project/rom-operator-inference/. This package has some simple test problems, and builds the base for [03], but can also be used for other learning problems.
• Matlab code of operator inference https://github.com/elizqian/operator-inference (from Elizabeth Qian's GitHub page).
• Code for [02] at https://github.com/elizqian/transform-and-learn .
• Code for [03] in python version from https://github.com/Willcox-Research-Group/rom-operator-inference-Python3
• References: