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Article
Variation of the Balanced POD Algorithm for Model Reduction of Linear Systems
American Control Conference
  • John R. Singler, Missouri University of Science and Technology
Abstract
We present a variation on an existing model reduction algorithm for linear systems based on balanced proper orthogonal decomposition (POD). In contrast to many computational approaches to balanced truncation, the algorithm variation approximates the reduced order model directly without first transforming the linear system. The algorithm is applicable to large-scale finite dimensional systems and a class of infinite dimensional systems. The algorithm variation is compared to the original balanced POD algorithm on example partial differential equation systems.
Meeting Name
American Control Conference (ACC) 2013
Department(s)
Mathematics and Statistics
Keywords and Phrases
  • linear systems,
  • partial differential equations,
  • reduced order systems
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2013 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
1-1-2013
Citation Information
John R. Singler. "Variation of the Balanced POD Algorithm for Model Reduction of Linear Systems" American Control Conference (2013)
Available at: http://works.bepress.com/john-singler/13/