Article


Article Code : 13930730956112782(DOI : 10.7508/jist.2013.04.002)

Article Title : Parameter Estimation in Hysteretic Systems Based on Adaptive Least-Squares

Journal Number : 4 Autumn 2013

Visited : 1220

Files : 505 KB


List of Authors

  Full Name Email Grade Degree Corresponding Author
1 Naser Khaji nkhaji@modares.ac.ir Associate Professor PhD
2 Mansour Peimani m.peimani@srbiau.ac.ir - M.Sc
3 Mohammad Javad Yazdanpanah yazdan@ut.ac.ir Professor PhD

Abstract

In this paper, various identification methods based on least-squares technique to estimate the unknown parameters of structural systems with hysteresis are investigated. The Bouc-Wen model is used to describe the behavior of hysteretic nonlinear systems. The adaptive versions are based on the fixed and variable forgetting factor and the optimized version is based on optimized adaptive coefficient matrix. Simulation results show the efficient performance of the proposed technique in identification and tracking of hysteretic structural system parameters compared with other least square based algorithms.