Network systems consist of subsystems and their interconnections and provide a powerful
framework for the analysis, modeling, and control of complex systems. However, subsystems …

Port-Hamiltonian (PH) theory is a novel, but well established modeling framework for
nonlinear physical systems. Due to the emphasis on the physical structure and modular …

Transport-dominated phenomena provide a challenge for common mode-based model
reduction approaches. We present a model reduction method, which is suited for these kinds …

Abstract Theory and methods to obtain reduced order models by moment matching from
input/output data are presented. Algorithms for the estimation of the moments of linear and …

Representing the reservoir as a network of discrete compartments with neighbor and non-
neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs …

This paper presents a structure-preserving model reduction approach applicable to large-
scale, nonlinear port-Hamiltonian systems. Structure preservation in the reduction step …

Mathematical models are at the core of modern science and technology. An accurate
description of behaviors, systems and processes often requires the use of complex models …

The past few decades have seen a significant spurt in developing lower-order, parsimonious
models of large-scale dynamical systems used for design and control. These surrogate …

We discuss balanced truncation model order reduction for large-scale quadratic-bilinear
(QB) systems. Balanced truncation for linear systems mainly involves the computation of the …

Representing the reservoir as a network of discrete compartments with neighbor and non-
neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs …