In this paper, we present a toolbox for structured model reduction developed for MATLAB. In addition to structured model reduction methods using balanced realizations of the subsystems, we introduce a numerical algorithm for structured model reduction using a subgradient optimization algorithm. We briefly present the syntax for the toolbox and its features. Finally, we demonstrate the applicability of various model reduction methods in the toolbox on a structured mass-spring mechanical system.
@article{arxiv.1410.4613,
title = {SiMpLIfy: A Toolbox for Structured Model Reduction},
author = {Martin Biel and Farhad Farokhi and Henrik Sandberg},
journal= {arXiv preprint arXiv:1410.4613},
year = {2014}
}