Second-Order Model Reduction Based on Gramians
Author
Source
Journal of Control Science and Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Some new and simple Gramian-based model order reduction algorithms are presented on second-order linear dynamical systems, namely, SVD methods.
Compared to existing Gramian-based algorithms, that is, balanced truncation methods, they are competitive and more favorable for large-scale systems.
Numerical examples show the validity of the algorithms.
Error bounds on error systems are discussed.
Some observations are given on structures of Gramians of second order linear systems.
American Psychological Association (APA)
Teng, Cong. 2012. Second-Order Model Reduction Based on Gramians. Journal of Control Science and Engineering،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-461691
Modern Language Association (MLA)
Teng, Cong. Second-Order Model Reduction Based on Gramians. Journal of Control Science and Engineering No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-461691
American Medical Association (AMA)
Teng, Cong. Second-Order Model Reduction Based on Gramians. Journal of Control Science and Engineering. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-461691
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461691