Structured backward errors for eigenvalues of linear port-Hamiltonian descriptor systems

05/10/2020
by   Volker Mehrmann, et al.
0

When computing the eigenstructure of matrix pencils associated with the passivity analysis of perturbed port-Hamiltonian descriptor system using a structured generalized eigenvalue method, one should make sure that the computed spectrum satisfies the symmetries that corresponds to this structure and the underlying physical system. We perform a backward error analysis and show that for matrix pencils associated with port-Hamiltonian descriptor systems and a given computed eigenstructure with the correct symmetry structure there always exists a nearby port-Hamiltonian descriptor system with exactly that eigenstructure. We also derive bounds for how near this system is and show that the stability radius of the system plays a role in that bound.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/17/2022

Control of port-Hamiltonian differential-algebraic systems and applications

The modeling framework of port-Hamiltonian descriptor systems and their ...
research
10/06/2021

A structure preserving shift-invert infinite Arnoldi algorithm for a class of delay eigenvalue problems with Hamiltonian symmetry

In this work we consider a class of non-linear eigenvalue problems that ...
research
03/13/2020

Finding the closest normal structured matrix

Given a structured matrix A we study the problem of finding the closest ...
research
11/09/2021

Structure-Preserving Linear Quadratic Gaussian Balanced Truncation for Port-Hamiltonian Descriptor Systems

We present a new balancing-based structure-preserving model reduction te...
research
07/05/2019

Fast optical absorption spectra calculations for periodic solid state systems

We present a method to construct an efficient approximation to the bare ...
research
12/05/2022

A Toolbox for the Regularization of Descriptor Systems Arising from Generalized Realization Procedures

In this report we introduce a toolbox for the regularization of descrip...
research
11/12/2018

Reciprocal and Positive Real Balanced Truncations for Model Order Reduction of Descriptor Systems

Model order reduction algorithms for large-scale descriptor systems are ...

Please sign up or login with your details

Forgot password? Click here to reset