連続的微分可能な減衰モデルにおける高次スペクトル解析 および同定方法の検討

抄録

Continuing from the previous report, we focus on the “continuously differentiable damping model” proposed by Makkar et al. Focusing on the symmetric nonlinear characteristics, we performed a numerical simulation analysis of trispectrum, which is one of the higher-order spectral analyses, and supplemented it. As for the identification method, the identification method using UKF, which is one of the nonlinear Kalman filters, was used. It was shown that it is possible to estimate the coefficient based on this modeling by performing simultaneous estimation of displacement, velocity and damping coefficient.