activity
20162023
most citedA Gauss--Newton iteration for Total Least Squares problems

14 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2023★ 1 cited

Simulation of Nonlinear Systems Trajectories: between Models and Behaviors

Antonio Fazzi, Alessandro Chiuso

In this paper, we study connections between the classical model-based approach to nonlinear system theory, where systems are represented by equations, and the nonlinear behavioral…

math.DS2021

Addition and intersection of linear time-invariant behaviors

Antonio Fazzi, Ivan Markovsky

We define and analyze the operations of addition and intersection of linear time-invariant systems in the behavioral setting, where systems are viewed as sets of trajectories rathe…

math.NA2020

Finding the nearest passive or non-passive system via Hamiltonian eigenvalue optimization

Antonio Fazzi, Nicola Guglielmi, Christian Lubich

We propose and study an algorithm for computing a nearest passive system to a given non-passive linear time-invariant system (with much freedom in the choice of the metric defining…

math.NA2020★ 11 cited

A gradient system approach for Hankel structured low-rank approximation

Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky

Rank deficient Hankel matrices are at the core of several applications. However, in practice, the coefficients of these matrices are noisy due to e.g. measurements errors and compu…

math.NA2019★ 13 cited

Generalized algorithms for the approximate matrix polynomial GCD of reducing data uncertainties with application to MIMO system and control

A. Fazzi, N. Guglielmi, I. Markovsky

Computation of (approximate) polynomials common factors is an important problem in several fields of science, like control theory and signal processing. While the problem has been…

math.NA2016★ 14 cited

A Gauss--Newton iteration for Total Least Squares problems

Dario Fasino, Antonio Fazzi

The Total Least Squares solution of an overdetermined, approximate linear equation minimizes a nonlinear function which characterizes the backward error. We show tha…