Efficient parameterization of large-scale dynamic models through the use of activity analysis

Bryon J. Sohns, James Allison, Hosam Kadry Fathy, Jeffrey L. Stein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Previous research presents both sensitivity-based and principal component-based techniques for improving the tractability of system identification. Both have proven viable, but the former may be computationally inefficient for large problems, and the latter require a change of realization that may compromise the physical meaning of the parameters to be identified. This paper proposes for the first time the use of activity analysis, an efficient and realization-preserving model reduction technique, for identification space reduction. Theoretical and numerical studies highlighting the viability of activity analysis versus the previous two methods are presented.

Original languageEnglish (US)
Title of host publicationProceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Dynamic Systems and Control Division
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)0791837904, 9780791837900
StatePublished - Jan 1 2006
Event2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Chicago, IL, United States
Duration: Nov 5 2006Nov 10 2006

Publication series

NameAmerican Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
ISSN (Print)1071-6947

Other

Other2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006
CountryUnited States
CityChicago, IL
Period11/5/0611/10/06

Fingerprint

Parameterization
Dynamic models
Identification (control systems)

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Software

Cite this

Sohns, B. J., Allison, J., Fathy, H. K., & Stein, J. L. (2006). Efficient parameterization of large-scale dynamic models through the use of activity analysis. In Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Dynamic Systems and Control Division (American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC). American Society of Mechanical Engineers (ASME).
Sohns, Bryon J. ; Allison, James ; Fathy, Hosam Kadry ; Stein, Jeffrey L. / Efficient parameterization of large-scale dynamic models through the use of activity analysis. Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Dynamic Systems and Control Division. American Society of Mechanical Engineers (ASME), 2006. (American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC).
@inproceedings{7906cca73a1241fa87c50f4f541b5c80,
title = "Efficient parameterization of large-scale dynamic models through the use of activity analysis",
abstract = "Previous research presents both sensitivity-based and principal component-based techniques for improving the tractability of system identification. Both have proven viable, but the former may be computationally inefficient for large problems, and the latter require a change of realization that may compromise the physical meaning of the parameters to be identified. This paper proposes for the first time the use of activity analysis, an efficient and realization-preserving model reduction technique, for identification space reduction. Theoretical and numerical studies highlighting the viability of activity analysis versus the previous two methods are presented.",
author = "Sohns, {Bryon J.} and James Allison and Fathy, {Hosam Kadry} and Stein, {Jeffrey L.}",
year = "2006",
month = "1",
day = "1",
language = "English (US)",
isbn = "0791837904",
series = "American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC",
publisher = "American Society of Mechanical Engineers (ASME)",
booktitle = "Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Dynamic Systems and Control Division",

}

Sohns, BJ, Allison, J, Fathy, HK & Stein, JL 2006, Efficient parameterization of large-scale dynamic models through the use of activity analysis. in Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Dynamic Systems and Control Division. American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, American Society of Mechanical Engineers (ASME), 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006, Chicago, IL, United States, 11/5/06.

Efficient parameterization of large-scale dynamic models through the use of activity analysis. / Sohns, Bryon J.; Allison, James; Fathy, Hosam Kadry; Stein, Jeffrey L.

Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Dynamic Systems and Control Division. American Society of Mechanical Engineers (ASME), 2006. (American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Efficient parameterization of large-scale dynamic models through the use of activity analysis

AU - Sohns, Bryon J.

AU - Allison, James

AU - Fathy, Hosam Kadry

AU - Stein, Jeffrey L.

PY - 2006/1/1

Y1 - 2006/1/1

N2 - Previous research presents both sensitivity-based and principal component-based techniques for improving the tractability of system identification. Both have proven viable, but the former may be computationally inefficient for large problems, and the latter require a change of realization that may compromise the physical meaning of the parameters to be identified. This paper proposes for the first time the use of activity analysis, an efficient and realization-preserving model reduction technique, for identification space reduction. Theoretical and numerical studies highlighting the viability of activity analysis versus the previous two methods are presented.

AB - Previous research presents both sensitivity-based and principal component-based techniques for improving the tractability of system identification. Both have proven viable, but the former may be computationally inefficient for large problems, and the latter require a change of realization that may compromise the physical meaning of the parameters to be identified. This paper proposes for the first time the use of activity analysis, an efficient and realization-preserving model reduction technique, for identification space reduction. Theoretical and numerical studies highlighting the viability of activity analysis versus the previous two methods are presented.

UR - http://www.scopus.com/inward/record.url?scp=84920630036&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920630036&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84920630036

SN - 0791837904

SN - 9780791837900

T3 - American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC

BT - Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Dynamic Systems and Control Division

PB - American Society of Mechanical Engineers (ASME)

ER -

Sohns BJ, Allison J, Fathy HK, Stein JL. Efficient parameterization of large-scale dynamic models through the use of activity analysis. In Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Dynamic Systems and Control Division. American Society of Mechanical Engineers (ASME). 2006. (American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC).