Parameter Estimation in Hysteretic Systems Based on Adaptive Least-Squares
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 854
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شناسه ملی سند علمی:
JR_JIST-1-4_002
تاریخ نمایه سازی: 21 فروردین 1393
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
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