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Titel:

sss & sssMOR - Analysis and Reduction of Large-Scale Dynamic Systems in MATLAB

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Poster
Autor(en):
Castagnotto, A.; Cruz Varona, M.; Lohmann, B.
Abstract:
The accurate modeling of dynamical systems often results in a large number of differential equations. In this case, the system matrices then easily become too large to define state-space models (ss objects) in MATLAB. In this contribution we present two new toolboxes that allow the definition and analysis of large-scale models by introducing sparse state-space objects (sss). Through model order reduction (sssMOR) it is possible to obtain high fidelity, low order approximations of the relevant dy...     »
Kongress- / Buchtitel:
KoMSO Challenge Workshop on Reduced-Order Modeling for Simulation and Optimization
Jahr:
2016
Jahr / Monat:
2016-11
Monat:
Nov
TUM Einrichtung:
Lehrstuhl für Regelungstechnik
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