SiMpLIfy: A Toolbox for Structured Model Reduction
Martin Biel, Farhad Farokhi, Henrik Sandberg
TL;DR
SiMpLIfy is a MATLAB toolbox that offers structured model reduction methods, including a novel subgradient optimization algorithm, demonstrated on a mechanical system.
Contribution
The paper introduces a new MATLAB toolbox with structured model reduction techniques and a subgradient optimization algorithm for improved system simplification.
Findings
Effective reduction of a mass-spring system demonstrated
Toolbox features and syntax are briefly presented
Structured reduction methods are applicable to mechanical systems
Abstract
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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Taxonomy
TopicsModel Reduction and Neural Networks · Real-time simulation and control systems · Hydraulic and Pneumatic Systems