0

Full Content is available to subscribers

Subscribe/Learn More  >

Estimation and Identification of Mass-Spring-Dashpot Systems Using Multiple-Model Adaptive Algorithms

[+] Author Affiliations
Sajjad Fekri Asl, Michael Athans, Antonio Pascoal

Instituto Superior Técnico, Lisboa, Portugal

Paper No. IMECE2002-33442, pp. 499-506; 8 pages
doi:10.1115/IMECE2002-33442
From:
  • ASME 2002 International Mechanical Engineering Congress and Exposition
  • Dynamic Systems and Control
  • New Orleans, Louisiana, USA, November 17–22, 2002
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 0-7918-3629-0 | eISBN: 0-7918-1691-5, 0-7918-1692-3, 0-7918-1693-1
  • Copyright © 2002 by ASME

abstract

We present performance evaluations of different configuration for state estimation and identification of a complex Mass-Spring-Dashpot (MSD) system using Multiple-Model Adaptive Estimation (MMAE) algorithms. The algorithms compare two distinct MMAE strategies using either constant-gain or time-varying-gain Kalman filters to identify the correct model of the MSD system. Simulation results, for a variety of noisy measurement assumptions, illustrate the behaviour of the MMAE algorithms which are robust to mass uncertainties.

Copyright © 2002 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In