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Titel
Balancing based model reduction for structured index-2 unstable descriptor systems with application to flow control / Peter Benner, Jens Saak, M. Monir Uddin
VerfasserBenner, Peter ; Saak, Jens ; Uddin, M. Monir
KörperschaftMax-Planck-Institut für Dynamik Komplexer Technischer Systeme
ErschienenMagdeburg : Max Planck Institute for Dynamics of Complex Technical Systems, November 12, 2014
Umfang1 Online-Ressource (22 Seiten = 0,55 MB) : Diagramme
SpracheEnglisch
SerieMax Planck Institute Magdeburg Preprints ; 14-20
URNurn:nbn:de:gbv:3:2-64618 
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Balancing based model reduction for structured index-2 unstable descriptor systems with application to flow control [0.55 mb]
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Abstract: Stabilizing a flow around an unstable equilibrium is a typical problem in flow control. Model-based designed of modern controllers like LQR/LQG or H∞ compensators is often limited by the large-scale of the discretized flow models. Therefore model reduction is usually needed before designing such a controller. Here we suggest an approach based on applying balanced truncation for unstable systems to the linearized flow equations usually used for compensator design. For this purpose we modify the ADI iteration for Lyapunov equations to deal with the index-2 structure of the underlying descriptor system efficiently in an implicit way. The resulting algorithm is tested for model reduction and control design of a linearized Navier-Stokes system describing von Kármán vortex shedding.