[图书][B] Approximation of large-scale dynamical systems

AC Antoulas - 2005 - SIAM
In today's technological world, physical and artificial processes are mainly described by
mathematical models, which can be used for simulation or control. These processes are …

Advanced motion control for precision mechatronics: Control, identification, and learning of complex systems

T Oomen - IEEJ Journal of Industry Applications, 2018 - jstage.jst.go.jp
Manufacturing equipment and scientific instruments, including wafer scanners, printers,
microscopes, and medical imaging scanners, require accurate and fast motions. An increase …

[图书][B] Exact and approximate modeling of linear systems: A behavioral approach

I Markovsky, JC Willems, S Van Huffel, B De Moor - 2006 - SIAM
The behavioral approach, put forward in the three part paper by JC Willems [Wil87], includes
a rigorous framework for deriving mathematical models, a field called system identification …

Solving fault diagnosis problems

A Varga - Studies in Systems, Decision and Control, 1st ed.; …, 2017 - Springer
Fault diagnosis is a widely used term across many application domains. In this book, we
restrict the meaning of this term to designate the usage of specific techniques to discover …

Efficient sensor node selection for observability Gramian optimization

K Yamada, Y Sasaki, T Nagata, K Nakai, D Tsubakino… - Sensors, 2023 - mdpi.com
Optimization approaches that determine sensitive sensor nodes in a large-scale, linear time-
invariant, and discrete-time dynamical system are examined under the assumption of …

[HTML][HTML] Software for weighted structured low-rank approximation

I Markovsky, K Usevich - Journal of Computational and Applied …, 2014 - Elsevier
A software package is presented that computes locally optimal solutions to low-rank
approximation problems with the following features:• mosaic Hankel structure constraint on …

Application of structured total least squares for system identification and model reduction

I Markovsky, JC Willems, S Van Huffel… - … on Automatic Control, 2005 - ieeexplore.ieee.org
The following identification problem is considered: Minimize the/spl lscr//sub 2/norm of the
difference between a given time series and an approximating one under the constraint that …

[HTML][HTML] Variable projection for affinely structured low-rank approximation in weighted 2-norms

K Usevich, I Markovsky - Journal of Computational and Applied …, 2014 - Elsevier
The structured low-rank approximation problem for general affine structures, weighted 2-
norms and fixed elements is considered. The variable projection principle is used to reduce …

New computational paradigms in solving fault detection and isolation problems

A Varga - Annual Reviews in Control, 2013 - Elsevier
A representative set of fault detection and isolation problems are formulated for linear time-
invariant systems with additive faults. For all problems general existence conditions of their …

[HTML][HTML] High-performance numerical algorithms and software for structured total least squares

I Markovsky, S Van Huffel - Journal of Computational and Applied …, 2005 - Elsevier
We present a software package for structured total least-squares approximation problems.
The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and …