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Model order reduction for linear and nonlinear systems : a system-theoretic perspective / Ulrike Baur, Peter Benner, Lihong Feng
VerfasserBaur, Ulrike ; Benner, Peter ; Feng, Lihong
KörperschaftMax-Planck-Institut für Dynamik Komplexer Technischer Systeme
ErschienenMagdeburg : Max Planck Institute for Dynamics of Complex Technical Systems, March 28, 2014
Umfang1 Online-Ressource (60 Seiten = 1 MB) : Diagramme
SpracheEnglisch
SerieMax Planck Institute Magdeburg Preprints ; 14-07
URNurn:nbn:de:gbv:3:2-64461 
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Abstract: In the past decades Model Order Reduction (MOR) has demonstrated its robustness and wide applicability for simulating large-scale mathematical models in engineering and the sciences. Recently MOR has been intensively further developed for increasingly complex dynamical systems. Wide applications of MOR have been found not only in simulation but also in optimization and control. In this survey paper we review some popular MOR methods for linear and nonlinear large-scale dynamical systems mainly used in electrical and control engineering in computational electromagnetics as well as in micro- and nano-electro-mechanical systems (NEMS/MEMS) design. Besides reviewing existing methods and the computational techniques needed to implement them open issues are discussed and some new results are proposed.