Structured Dynamics Learning Using Sparse Optimization

This repo implements the sparse cyclic recovery example formulated in the paper

Schaeffer, H., Tran, G., Ward, R., & Zhang, L. (2020). Extracting structured dynamical systems using sparse optimization with very few samples. Multiscale Modeling & Simulation, 18(4), 1435-1461.

This implementation seeks to generalize the implementation so it can be used across a range of system identification applications and simply so it can be run in native python without a Matlab license (also required a DL toolkit license).

Testing

This implementation tests for a 1-1 output match against the Matlab implementation in the paper referenced repo.

Notebooks

Replicates the main matlab script in the SparseCyclicRecovery repo.