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Scalable Positivity Preserving Model Reduction Using Linear Energy Functions

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Author

Summary, in English

In this paper, we explore positivity preserving model reduction. The reduction is performed by truncating the states of the original system without balancing in the classical sense. This may result in conservatism, however, this way the physical meaning of the individual states is preserved. The reduced order models can be obtained using simple matrix operations or using distributed optimization methods. Therefore, the developed algorithms can be applied to sparse large-scale systems.

Publishing year

2012

Language

English

Pages

4285-4290

Publication/Series

IEEE 51st Annual Conference on Decision and Control (CDC), 2012

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Conference name

51st IEEE Conference on Decision and Control, 2012

Conference date

2012-12-10 - 2012-12-13

Conference place

Maui, Hawaii, United States

Status

Published

Project

  • LCCC

Research group

  • LCCC
  • ELLIIT

ISBN/ISSN/Other

  • ISSN: 0743-1546
  • ISBN: 978-1-4673-2065-8