Balancing based model reduction for structured index-2 unstable        descriptor systems with application to flow control

Peter  Benner; Jens  Saak; M. Monir  Uddin

doi:10.3934/naco.2016.6.1

Article Contents

2016, Volume 6, Issue 1: 1-20. Doi: 10.3934/naco.2016.6.1

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Balancing based model reduction for structured index-2 unstable descriptor systems with application to flow control

1.
Max Planck Institute for Dynamics of Complex Technical Systems, Computational Methods in Systems and Control Theory, Magdeburg

Received: November 2014

Revised: January 2016

Published: January 2016

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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 $H_\infty$ 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.

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Mathematics Subject Classification: Primary: 93B40, 93B11; Secondary: 65F30, 65F50.

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