z-logo
open-access-imgOpen Access
Numerical Study on Identification of Time Varying Parameters of Vibration Systems
Author(s) -
Yanchun Liang,
Qiang Zhen,
Zaishen Wang
Publication year - 1997
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/1997/495860
Subject(s) - nonlinear system , lti system theory , control theory (sociology) , identification (biology) , vibration , system identification , linear system , least squares function approximation , linear model , mathematics , term (time) , computer science , mathematical analysis , statistics , physics , data modeling , acoustics , artificial intelligence , botany , control (management) , quantum mechanics , database , estimator , biology
An on-line least squares algorithm has previously been successfully applied to linear vibration systems in order to identify time varying parameters. In this article the limitations of the approach and the factors affecting the identification are further examined. The existence of the nonlinear term is determined by means of the time varying characteristics of the estimated linear parameters using the linear model and the data from a time invariant nonlinear system. The identification of the time varying linear parameters is also examined in accordance with the linear model by using the data with nonlinear elements.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom