Parameter Estimation in Hysteretic Systems Based on Adaptive Least-Squares

In this paper, various identification methods based on least-squares technique to estimate the unknown parameters ofstructural systems with hysteresis are investigated. the bouc-wen model is used to describe the behavior of hystereticnonlinear 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.