@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 K.} and Stein, {Jeffrey L.}",
year = "2006",
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",
note = "2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 ; Conference date: 05-11-2006 Through 10-11-2006",
}