[HTML][HTML] Data-driven model reduction for port-Hamiltonian and network systems in the Loewner framework

A Moreschini, JD Simard, A Astolfi - Automatica, 2024 - Elsevier
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 …

[HTML][HTML] Interconnection-based model order reduction-a survey

G Scarciotti, A Astolfi - European Journal of Control, 2024 - Elsevier
In this survey we present in an organic, complete, and accessible style the interconnection
framework for model order reduction. While this framework originally started as a revisitation …

Parameterization of all differential-algebraic moment matching interpolants

JD Simard, A Moreschini… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this article we extend the notion of time-domain moment to a class of general systems of
nonlinear differential-algebraic equations. Additionally, a new family of systems achieving …

Nonlinear data-driven moment matching in Reproducing Kernel Hilbert Spaces

A Moreschini, M Scandella… - 2024 European Control …, 2024 - ieeexplore.ieee.org
The continuously increasing amount of noisy data demands the development of accurate
and efficient models for analysis, modeling, and control. In this article, we propose a novel …

Moment Matching for Nonlinear Systems of Second-Order Equations

JD Simard, A Moreschini… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
In this paper we consider the problem of constructing nonlinear systems of second-order
equations that achieve moment matching. In particular, necessary and sufficient conditions …

A polynomial approximation scheme for nonlinear model reduction by moment matching

C Doebeli, A Astolfi, D Kalise, A Moreschini… - arxiv preprint arxiv …, 2024 - arxiv.org
We propose a procedure for the numerical approximation of invariance equations arising in
the moment matching technique associated with reduced-order modeling of high …

Kernel-Based Continuous-Time System Identification: A Parametric Approximation

M Scandella, A Moreschini… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
In this paper, we discuss the non-parametric estimate problem using kernel-based LTI
system identification techniques by constructing a Loewner-based interpolant of the …

Enforcing Stability of Linear Interpolants in the Loewner Framework

JD Simard, A Moreschini - IEEE Control Systems Letters, 2023 - ieeexplore.ieee.org
This letter considers the problem of constructing exponentially stable interpolants in the
Loewner framework for linear systems of differential-algebraic equations. A designer must …

Construction of Nonlinear Interpolants With Second-Order Equation Structure in the Loewner Framework

JD Simard - IFAC-PapersOnLine, 2024 - Elsevier
This paper studies the construction of nonlinear interpolants consisting of second-order
equations in the Loewner framework. First, conditions are given for which a system of …

Fréchet Discrete Gradient and Hessian Operators on Infinite-Dimensional Spaces

A Moreschini, G Göksu, T Parisini - IFAC-PapersOnLine, 2024 - Elsevier
Benefiting from the notion of Fréchet derivatives, we define Fréchet discrete operators, such
as gradient and Hessian, on infinite-dimensional spaces. The Fréchet discrete gradient …