The model reduction problem in the Loewner framework for port-Hamiltonian and network
systems on graphs is studied. In particular, given a set of right-tangential interpolation data …

A framework for identifying nonlinear port-Hamiltonian systems using input-state-output data
is introduced. The framework utilizes neural networks' universal approximation capacity to …

In this work, we detail a procedure to construct a reduced order model on the basis of
frequency-domain data, that preserves the non-strictly passive property and the port …

This paper presents a systematic methodology for the discretization and reduction of a class
of one-dimensional Partial Differential Equations (PDEs) with inputs and outputs collocated …