22 citations · 67 across the 36 of their papers we have counts for
5 papers · 1 filter
Scalable Computation of Energy Functions for Nonlinear Balanced Truncation
Boris Kramer, Serkan Gugercin, Jeff Borggaard +1
Nonlinear balanced truncation is a model order reduction technique that reduces the dimension of nonlinear systems in a manner that accounts for either open- or closed-loop observa…
A Unifying Framework for Interpolatory -optimal Reduced-order Modeling
Petar Mlinarić, Serkan Gugercin
We develop a unifying framework for interpolatory -optimal reduced-order modeling for a wide classes of problems ranging from stationary models to parametric dynamic…
A unifying framework for tangential interpolation of structured bilinear control systems
Peter Benner, Serkan Gugercin, Steffen W. R. Werner
In this paper, we consider the structure-preserving model order reduction problem for multi-input/multi-output bilinear control systems by tangential interpolation. We propose a ne…
-optimal Reduced-order Modeling Using Parameter-separable Forms
Petar Mlinarić, Serkan Gugercin
We provide a unifying framework for -optimal reduced-order modeling for linear time-invariant dynamical systems and stationary parametric problems. Using parameter-s…
Structure-Preserving Model Reduction for Nonlinear Power Grid Network
Bita Safaee, Serkan Gugercin
We develop a structure-preserving system-theoretic model reduction framework for nonlinear power grid networks. First, via a lifting transformation, we convert the original nonline…