Title

Variation of the Balanced POD Algorithm for Model Reduction of Linear Systems

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.

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