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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 19, Number 3 (2007)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 149-164
S&M672 Research Paper Published: 2007 Parametric Order Reduction of Proportionally Damped Second-Order Systems [PDF] Rudy Eid, Behnam Salimbahrami, Boris Lohmann, Evgenii B. Rudnyi and Jan G. Korvink (Received October 25, 2006; Accepted February 22, 2007) Keywords: order reduction, second-order systems, proportional damping, moment matching, second-order Krylov subspaces
In this paper, the structure-preserving order reduction of proportionally damped and undamped second-order systems is presented. The discussion is based on the second -order Krylov subspace method, and it is shown that for systems with proportional damping, the damping matrix does not contribute to the projection matrices, and that the reduction can be carried out using the classical Krylov subspaces. As a result of direct projection, the reduced-order model is parameterized in terms of the damping coefficients.
Corresponding author: Rudy Eid Cite this article Rudy Eid, Behnam Salimbahrami, Boris Lohmann, Evgenii B. Rudnyi and Jan G. Korvink, Parametric Order Reduction of Proportionally Damped Second-Order Systems, Sens. Mater., Vol. 19, No. 3, 2007, p. 149-164. |
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