Transfer function matrix identification from input—output frequency response data

Transfer Function Identification from Phase Response Data

System Identification Based on Frequency Response Noisy Data

In this paper, a new algorithm for system identification based on frequency response is presented. In this method, given a set of magnitudes and phases of the system transfer function in a set of discrete frequencies, a system of linear equations is derived which has a unique and exact solution for the coefficients of the transfer function provided that the data is noise-free and the degrees of...

System Identification Based on Frequency Response Noisy Data

In this paper, a new algorithm for system identification based on frequency response is presented. In this method, given a set of magnitudes and phases of the system transfer function in a set of discrete frequencies, a system of linear equations is derived which has a unique and exact solution for the coefficients of the transfer function provided that the data is noise-free and the degrees of...

Identifying a Transfer Function from a Frequency Response

ABSTRACT In this paper, the classic Levy identification method is reviewed and reformulated using a complex representation. This new formulation is able to solve the well known bias of the classic method at low frequencies. The formulation is generic, addressing both integer order and fractional order transfer functions. A new algorithm based on a stacked matrix and its pseudo-inverse is propos...

Eecient Construction of Transfer Functions from Frequency Response Data

Submitted to IEEE Trans. of Automatic Control for review. Abstract In this paper, we present a novel non-iterative algorithm to identify linear time-invariant systems from frequency response data. The algorithm is related to the recent time-domain subspace identiication techniques. Promising results are obtained when the algorithm is applied to the real frequency data originating from a large e...