A unifying framework for tangential interpolation of structured bilinear control systems

06/03/2022
by   Peter Benner, et al.
0

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 new type of tangential interpolation problem for structured bilinear systems, for which we develop a new structure-preserving interpolation framework. This new framework extends and generalizes different formulations of tangential interpolation for bilinear systems from the literature and also provides a unifying framework. We then derive explicit conditions on the projection spaces to enforce tangential interpolation in different settings, including conditions for tangential Hermite interpolation. The analysis is illustrated by means of three numerical examples.

READ FULL TEXT

page 25

page 28

page 30

research
05/02/2020

Structure-Preserving Interpolation of Bilinear Control Systems

In this paper, we extend the structure-preserving interpolatory model re...
research
07/22/2020

Structure-Preserving Interpolation for Model Reduction of Parametric Bilinear Systems

In this paper, we present an interpolation framework for structure-prese...
research
10/23/2019

A Unifying Framework of Bilinear LSTMs

This paper presents a novel unifying framework of bilinear LSTMs that ca...
research
09/21/2017

A New Framework for H_2-Optimal Model Reduction

In this contribution, a new framework for H2-optimal reduction of multip...
research
11/19/2021

Compresion y analisis de imagenes por medio de algoritmos para la ganaderia de precision

The problem that we want to solve in this project of the subject of Data...
research
05/18/2023

Adaptive choice of near-optimal expansion points for interpolation-based structure-preserving model reduction

Interpolation-based methods are well-established and effective approache...
research
12/20/2017

An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data

We propose a new order preserving bilinear framework that exploits low-r...

Please sign up or login with your details

Forgot password? Click here to reset