Aircraft Flutter Modal Parameter Identification Using a Numerically Robust Least-squares Estimator in Frequency Domain

Numerically-robust O(N2) RLS algorithms using least-squares prewhitening

Numerically robust frequency domain identification of multivariable systems

Frequency domain methods are known to suffer from a poor numerical conditioning when the frequency span and/or the model order become large (more than 2 decades and an order more than 20). This numerical problem ruins both the modeling performance and the model order selection capability. This paper presents a modeling approach that leads to (almost) optimal numerical conditioning of the normal...

A Fast Frequency Domain Global Modal Parameter Identification Algorithm

In this paper, a fast frequency domain global modal parameter identification algorithm is proposed. The modal parameters are identified with amplitude square of FRF instead of its traditional real part & imaginary part. By discrete transformation, all additional pseudo roots are reciprocal of the real roots and their conjugates. The physical roots can be separated from mathematical roots with s...

A novel robust position estimator for self-sensing magnetic levitation systems based on least squares identification

In this work a novel method is introduced for the estimation of the position of a self-sensing magnetic levitation system, based on a least squares identification strategy. In the first step, a detailed mathematical model of the magnetic levitation system is derived and the properties of this system are analyzed for the case of a pulse-width modulated control. Based on this model, an estimation...

Level Robust Methods Based on the Least Squares Regression Estimator