Speaker
Manuela Hund
(Max Planck Institute for Dynamics of Complex Technical Systems)
Description
We consider $\mathcal{H}_2 \otimes \mathcal{L}_2$-optimal model order reduction of parametric linear time-invariant dynamical systems, where coupled matrix integral equations arise in the first-order necessary conditions (FONC). The quality of the reduced-order model is measured using the $\mathcal{H}_2$ norm for the parametric system, which is averaged in the $\mathcal{L}_2$-norm over the parameter domain.
We motivate the FONC and aim to satisfy them using an optimization-based approach that involves solving sequences of small-scale Lyapunov equations and tall and skinny Sylvester equations.
Author
Manuela Hund
(Max Planck Institute for Dynamics of Complex Technical Systems)
Co-authors
Tim Mitchell
(Max Planck Institute for Dynamics of Complex Technical Systems)
Petar Mlinarić
(Max Planck Institute for Dynamics of Complex Technical Systems)
Jens Saak
(Max Planck Institute for Dynamics of Complex Technical Systems)