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Accelerating Parameterizaton of Large-Scale Dynamic Models Through the Use of Activity Analysis

[+] Author Affiliations
Bryon J. Sohns, James Allison, Hosam Fathy, Jeffrey L. Stein

University of Michigan

Paper No. IMECE2006-14599, pp. 1147-1154; 8 pages
doi:10.1115/IMECE2006-14599
From:
  • ASME 2006 International Mechanical Engineering Congress and Exposition
  • Dynamic Systems and Control, Parts A and B
  • Chicago, Illinois, USA, November 5 – 10, 2006
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 0-7918-4768-3 | eISBN: 0-7918-3790-4
  • Copyright © 2006 by ASME

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.

Copyright © 2006 by ASME

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