System identification of hysteretic structures

Abstract

Three different time-domain system identification algorithms are presented in this paper to estimate the parameters of an extended Bouc-Wen hysteretic model. These algorithms include the simplex, extended Kalman filter, and generalized reduced gradient methods. The effectiveness of the proposed algorithms is demonstrated through simulations of nonlinear systems with pinching and degradation characteristics. Due to very modest computing requirements, the proposed identification algorithms can be acceptable as a basic tool for estimating hysteretic parameters in engineering design.