Maximumly weighted iteration for solving inverse problems in dynamics

X Yu, C Cheng, Y Yang, M Du, Q He, Z Peng - International Journal of …, 2023 - Elsevier
Many problems in dynamics can be formulated as inverse problems that require the
determination of the unknown input from the known output. Limited by the measurement …

[PDF][PDF] Computing approximate (block) rational Krylov subspaces without explicit inversion with extensions to symmetric matrices

T Mach, MS Pranic, R Vandebril - Electron. Trans. Numer. Anal, 2014 - kurims.kyoto-u.ac.jp
It has been shown that approximate extended Krylov subspaces can be computed, under
certain assumptions, without any explicit inversion or system solves. Instead, the vectors …

Identification for motion control: Incorporating constraints and numerical considerations

R Voorhoeve, R de Rozario… - 2016 American Control …, 2016 - ieeexplore.ieee.org
Frequency domain identification is a common starting point for model based motion control.
The aim of this paper is to tailor parametric identification methods to the specific class of …

[PDF][PDF] Fast and stable unitary QR algorithm

JL Aurentz, T Mach, R Vandebril, DS Watkins - Electron. Trans. Numer …, 2015 - emis.de
A fast Fortran implementation of a variant of Gragg's unitary Hessenberg QR algorithm is
presented. It is proved, moreover, that all QR-and QZ-like algorithms for the unitary …

[PDF][PDF] Biorthogonal rational Krylov subspace methods

A general framework for oblique projections of non-Hermitian matrices onto rational Krylov
subspaces is developed. To obtain this framework we revisit the classical rational Krylov …

Generation of orthogonal rational functions by procedures for structured matrices

N Van Buggenhout, M Van Barel, R Vandebril - Numerical Algorithms, 2022 - Springer
The problem of computing recurrence coefficients of sequences of rational functions
orthogonal with respect to a discrete inner product is formulated as an inverse eigenvalue …

An Arnoldi-based approach to polynomial and rational least squares problems

A Faghih, M Van Barel, N Van Buggenhout… - arXiv preprint arXiv …, 2024 - arxiv.org
In this research, we solve polynomial, Sobolev polynomial, rational, and Sobolev rational
least squares problems. Although the increase in the approximation degree allows us to fit …

[HTML][HTML] An implicit filter for rational Krylov using core transformations

D Camps, K Meerbergen, R Vandebril - Linear Algebra and its Applications, 2019 - Elsevier
The rational Krylov method is a powerful tool for computing a selected subset of eigenvalues
in large-scale eigenvalue problems. In this paper we study a method to implicitly apply a …

[PDF][PDF] Identification for advanced motion control: Numerically reliable algorithms for complex systems

RJ Voorhoeve - 2018 - research.tue.nl
Dit proefschrift is goedgekeurd door de promotoren en de samenstelling van de
promotiecommissie is als volgt: voorzitter: prof. dr. LPH de Goey promotor: prof. dr. ir. M …

Orthogonal rational functions on the unit circle with prescribed poles not on the unit circle

A Bultheel, R Cruz-Barroso, A Lasarow - SIGMA. Symmetry, Integrability …, 2017 - emis.de
Orthogonal rational functions (ORF) on the unit circle generalize orthogonal polynomials
(poles at infinity) and Laurent polynomials (poles at zero and infinity). In this paper we …