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Support code for the paper "Structured tate-space models are deep Wiener models"

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bonassifabio/SSM-sysid

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This repository implements the Structured State-space models described in the paper

Fabio Bonassi, Carl Andersson, Per Mattsson, Thomas B. Schön, “Structured state-space models are deep Wiener models,” SYSID 2024. [link]

If you use this code, or otherwise found our work valuable, please cite the following paper

@inproceedings{bonassi2024structured,  
    title={Structured state-space models are deep Wiener models},
    author={Bonassi, Fabio and Andersson, Carl and Mattsson, Per and Sch{\"o}n, Thomas B},
    year = {2024},
    booktitle = {20th IFAC Symposium on System Identification (SYSID)},
}

Requirements

This code was developed on a Mac running Python 3.11, PyTorch 2.1. Other requirements are listed in requirements.txt.

Installation:

pip install -r requirements.txt

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Support code for the paper "Structured tate-space models are deep Wiener models"

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