On the construction of POD models from partial observations

P. Astrid, S. Weiland

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)

Abstract

This paper discusses the use of partial state observations in the construction of reduced order models based on proper orthogonal decompositions (POD). A main motivation for this work lies in the observation that reductions of the state dimension of large scale nonlinear and time-varying models hardly enhances the computational speed of these models. It is shown that information from output variables or sampled state information can be used in an efficient manner to accelerate computation speed in reduced order models while allowing state recovery properties in an exact or approximate sense.
Original languageEnglish
Title of host publication44th IEEE Conference on Decision and Control, Seville, Spain
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages2272-2277
Number of pages6
ISBN (Print)0-7803-9567-0
DOIs
Publication statusPublished - 2005
Event44th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2005) - "Melia Sevilla Hotel", Seville, Spain
Duration: 12 Dec 200515 Dec 2005
Conference number: 44

Conference

Conference44th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2005)
Abbreviated titleCDC-ECC 2005
CountrySpain
CitySeville
Period12/12/0515/12/05

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