Mansour Peimani - Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Mohammad Javad Yazdanpanah - Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Iran
Naser Khaji - Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

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.

Hysteresis, Least-Squares Estimation (LSE), Optimization, System Identification