Non-parametric identification of mechanical systems by Kautz filter with multiple poles

Abstract

The main goal of this short communication is to use orthogonal Kautz filters with multiple poles for non-parametric identification of the impulse response functions (IRFs) of mechanical structures. The IRF is estimated by using the covariance method based on the sum of convolution of the input signal processed by Kautz filters. The inclusion of different poles in the Kautz filter allows the use of a wide range of frequency and can improve the non-parametric identification process in the time domain by reducing the number of necessary terms. Some examples are provided to illustrate the simplicity and efficiency of the proposed approach.