Methods of system identification for monitoring slowly time-varying structural systems

E. A. Johnson, P. G. Voulgaris, Lawrence Bergman

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


It is often necessary to monitor the response of structural systems for reasons such as the prediction and avoidance of unstable behavior like flutter, monitoring structural parameters (e.g. natural frequency and damping, response of critical structural modes), and detection of structural damage or verification of structural integrity. Several different system identification methods are studied for the efficacy of their implementation for online monitoring of slowly time-varying structural systems. A few simple examples of such systems facilitate the evaluation of the performance, accuracy and ease of use of the various methods. Special attention is focused on exploring H -based identification methods and on a two-stage algorithm using a recursive least-squares identification. It is observed that H -based methods, while having advantages for many problems, especially in computing plant uncertainty bounds that are suitable for H control design, are not particularly well-suited for online structural monitoring. Recursive least-squares methods, however, are sufficiently computationally simple to provide real-time updates of structural parameters and, in conjunction with a Kalman filter, modal response with relatively good accuracy for systems with slowly varying characteristics.

Original languageEnglish (US)
Title of host publicationProceedings - Intelligent Information Systems, IIS 1997
EditorsHojjat Adeli
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)0818682183, 9780818682186
StatePublished - Jan 1 1997
Event1997 International Conference on Intelligent Information Systems, IIS 1997 - Grand Bahama Island, Bahamas
Duration: Dec 8 1997Dec 10 1997

Publication series

NameProceedings - Intelligent Information Systems, IIS 1997


Conference1997 International Conference on Intelligent Information Systems, IIS 1997
CityGrand Bahama Island


  • H
  • Kalman filters
  • identification
  • real-time monitoring
  • recursive least squares identification
  • structural system identification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management


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