The Behavioral Toolbox
Abstract
The Behavioral Toolbox is a collection of Matlab functions for modeling, analysis, and design of dynamical systems using the behavioral approach to systems theory and control. It implements newly emerged direct data-driven methods as well as classical parametric representations of linear time-invariant systems. At the core of the toolbox is a nonparameteric representation of the finite-horizon behavior by an orthonormal basis. The current version has education and research goals and isn’t intended for handling “big data”. The paper presents five problems — checking systems equality, interconnection of systems, errors-in-variables least-squares smoothing, missing input estimation, and data-driven forecasting — and describes their solution by the methods in the toolbox.
Cite
Text
Markovsky. "The Behavioral Toolbox." Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024.Markdown
[Markovsky. "The Behavioral Toolbox." Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024.](https://mlanthology.org/l4dc/2024/markovsky2024l4dc-behavioral/)BibTeX
@inproceedings{markovsky2024l4dc-behavioral,
title = {{The Behavioral Toolbox}},
author = {Markovsky, Ivan},
booktitle = {Proceedings of the 6th Annual Learning for Dynamics & Control Conference},
year = {2024},
pages = {130-141},
volume = {242},
url = {https://mlanthology.org/l4dc/2024/markovsky2024l4dc-behavioral/}
}