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Scalable Positivity Preserving Model Reduction Using Linear Energy Functions

Författare

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.

Publiceringsår

2012

Språk

Engelska

Sidor

4285-4290

Publikation/Tidskrift/Serie

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

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • 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

Projekt

  • LCCC

Forskningsgrupp

  • LCCC
  • ELLIIT

ISBN/ISSN/Övrigt

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