Rational polynomial approximation of actively controlled structures based on analytically determined model

S. B. Kim, B. F. Spencer, C. B. Yun

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

Abstract

An improved rational polynomial approximation (RPA) method for multi input multi output (MIMO) systems is presented. A transfer function model is constructed from the experimentally obtained frequency response function data using a maximum likelihood estimation approach. Analytically determined model of the system is incorporated in this RPA method to obtain a more reliable model, even in the low frequency range, where the excitation energy is limited. Shaking table test for an actively controlled, two-story bench-scale building employing an active mass damper is conducted to verify the suggested method. The results show that the proposed method is quite effective and robust for system identification of MIMO systems.

Original languageEnglish (US)
Title of host publicationProceedings of the International Offshore and Polar Engineering Conference
Pages693-696
Number of pages4
StatePublished - 2005
Event15th International Offrshore and Polar Engineering Conference, ISOPE-2005 - Seoul, Korea, Republic of
Duration: Jun 19 2005Jun 24 2005

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
Volume2005
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Other

Other15th International Offrshore and Polar Engineering Conference, ISOPE-2005
Country/TerritoryKorea, Republic of
CitySeoul
Period6/19/056/24/05

Keywords

  • Active Mass Damper
  • MIMO System
  • Maximum Likelihood Estimation
  • Rational Polynomial Model
  • Shaking Table Test
  • System Identification

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Rational polynomial approximation of actively controlled structures based on analytically determined model'. Together they form a unique fingerprint.

Cite this