activity
20142026
most citedOperator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

131 citations · 917 across the 125 of their papers we have counts for

collaborators
Showing 2016Show all

10 papers · 1 filter

math.OC2016★ 13 cited

Hankel-Norm Approximation of Large-Scale Descriptor Systems

Peter Benner, Steffen W. R. Werner

The Hankel-norm approximation is a model reduction method which provides the best approximation in the Hankel semi-norm. In this paper the computation of the optimal Hankel-norm ap…

math.OC2016★ 30 cited

Space-time Galerkin POD with application in optimal control of semi-linear parabolic partial differential equations

Manuel Baumann, Peter Benner, Jan Heiland

In the context of Galerkin discretizations of a partial differential equation (PDE), the modes of the classical method of Proper Orthogonal Decomposition (POD) can be interpreted a…

math.OC2016

Model Reduction of Linear Multi-Agent Systems by Clustering and Associated - and -Error Bounds

Hidde-Jan Jongsma, Petar Mlinarić, Sara Grundel +2

In this paper, we study a model reduction technique for leader-follower networked multi-agent systems defined on weighted, undirected graphs with arbitrary linear multivariable age…

math.NA2016

-Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systems

Peter Benner, Pawan Goyal, Serkan Gugercin

We investigate the optimal model reduction problem for large-scale quadratic-bilinear (QB) control systems. Our contributions are threefold. First, we discuss the variational analy…

math.DS2016★ 16 cited

Exponential Stability and Stabilization of Extended Linearizations via Continuous Updates of Riccati Based Feedback

Peter Benner, Jan Heiland

Many recent works on stabilization of nonlinear systems target the case of locally stabilizing an unstable steady state solutions against small perturbation. In this work we explic…

math.NA2016★ 4 cited

Range-separated tensor formats for numerical modeling of many-particle interaction potentials

Peter Benner, Venera Khoromskaia, Boris N. Khoromskij

We introduce and analyze the new range-separated (RS) canonical/Tucker tensor format which aims for numerical modeling of the 3D long-range interaction potentials in multi-particle…