OCSYSYOct 17, 2014

SiMpLIfy: A Toolbox for Structured Model Reduction

arXiv:1410.4613
Originality Synthesis-oriented
AI Analysis

It provides a practical tool for engineers working with structured dynamical systems, but the contribution is incremental as it combines existing methods.

The paper presents a MATLAB toolbox for structured model reduction, introducing a subgradient optimization algorithm for this purpose, and demonstrates its applicability on a mass-spring system.

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.

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