1 citations · 1 across the 9 of their papers we have counts for
11 papers
Contour integral methods and model order reduction for parametric linear control systems
Serkan Gugercin, Mattia Manucci
This paper introduces a contour integral method (CIM) for efficiently computing outputs of parametric linear systems in control form over specified time intervals and to a user-pre…
Contour integral methods and structured perturbations for linear differential-algebraic equations
Nicola Guglielmi, Mattia Manucci
We generalize the contour integral methods (CIM) framework to the time integration of linear dynamical systems that are subject to algebraic constraints at all times during their e…
Model Reduction for Switched Linear Systems via Generalized Lyapunov Equations
Mattia Manucci, Benjamin Unger
In this work, we study projection-based model order reduction (MOR) for switched linear systems (SLS) in control form, where the projection matrices are obtained from the solutions…
Certified Model Order Reduction for parametric Hermitian eigenproblems
Mattia Manucci, Benjamin Stamm, Zhuoyao Zeng
This article deals with the efficient and certified numerical approximation of the smallest eigenvalue and the associated eigenspace of a large-scale parametric Hermitian matrix. F…
Certified Model Predictive Control for Switched Evolution Equations using Model Order Reduction
Michael Kartmann, Mattia Manucci, Benjamin Unger +1
We present a model predictive control (MPC) framework for linear switched evolution equations arising from a parabolic partial differential equation (PDE). First-order optimality c…
Uniform Approximation of Eigenproblems of a Large-Scale Parameter-Dependent Hermitian Matrix
Mattia Manucci, Emre Mengi, Nicola Guglielmi
We consider the uniform approximation of the smallest eigenvalue of a large parameter-dependent Hermitian matrix by that of a smaller counterpart obtained through projections. The…
Reachable and observable sets for switched systems via generalized Lyapunov equations: application to switched descriptor systems
Mattia Manucci, Benjamin Unger
In a recent work [Manucci, Unger, ArXiv e-print 2404.10511, 2024], the authors propose using two generalized Lyapunov equations (GLEs) to derive a balancing-based model order reduc…
Balancing-based model reduction for switched descriptor systems
Mattia Manucci, Benjamin Unger
We propose a novel projection-based model order reduction (MOR) algorithm for a broad class of switched linear descriptor systems. Our approach integrates the reformulation strateg…
Model order reduction in contour integral methods for parametric PDEs
Nicola Guglielmi, Mattia Manucci
In this paper we discuss a projection model order reduction (MOR) method for a class of parametric linear evolution PDEs, which is based on the application of the Laplace transform…
Pseudospectral roaming contour integral methods for convection-diffusion equations
Nicola Guglielmi, Maria López-Fernández, Mattia Manucci
We generalize ideas in the recent literature and develop new ones in order to propose a general class of contour integral methods for linear convection-diffusion PDEs and in partic…
Sparse data-driven quadrature rules via -quasi-norm minimization
Mattia Manucci, Jose Vicente Aguado, Domenico Borzacchiello
In this paper we show the use of the focal underdetermined system solver to recover sparse empirical quadrature rules for parametrized integrals from existing data, consisting of t…