The AAA framework for modeling linear dynamical systems with quadratic output

05/20/2020
by   Ion Victor Gosea, et al.
0

We consider linear dynamical systems with quadratic output. We first define the two transfer functions, a single-variable and a multivariate one, that fully describe the dynamics of these special nonlinear systems. Then, using the samples of these two transfer functions, we extend the AAA algorithm to model linear systems with quadratic output from data.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/25/2021

Data-driven modeling of linear dynamical systems with quadratic output in the AAA framework

We extend the AAA (Adaptive-Antoulas-Anderson) algorithm to develop a da...
research
03/14/2020

The p-AAA algorithm for data driven modeling of parametric dynamical systems

The AAA algorithm has become a popular tool for data-driven rational app...
research
09/10/2019

Gramians, Energy Functionals and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs

Model order reduction is a technique that is used to construct low-order...
research
06/16/2022

On a High-Precision Method for Studying Attractors of Dynamical Systems and Systems of Explosive Type

The author of this article considers a numerical method that uses high-p...
research
07/24/2023

Detecting disturbances in network-coupled dynamical systems with machine learning

Identifying disturbances in network-coupled dynamical systems without kn...
research
01/27/2016

Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference

This paper presents a shape-theoretic framework for dynamical analysis o...
research
09/15/2020

Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion

Dynamical systems arise in a wide variety of mathematical models from sc...

Please sign up or login with your details

Forgot password? Click here to reset