Frequency-domain subspace identification for nonlinear mechanical systems

A subspace method for frequency selective identification of stochastic systems ⋆

A parametric method for the estimation of vector valued discrete-time stochastic systems or equivalently the spectrum of a stochastic process is presented. The key feature is that the method can be used to frequency selectively fit the model to the data. This means that parts of the spectrum can be modeled with a lower model order than otherwise would be necessary if the entire spectrum would b...

Frequency domain subspace identification of a tape servo system

As capacity demands for magnetic tape storage systems grow, servo actuator design for tracking data on high density tape media presents new modeling and control design challenges. In this paper a frequency weighted subspace identification algorithm is presented for control relevant model estimation of a tape servo actuator. Common to other subspace identification methods, the proposed algorithm...

Subspace Identification for Linear Systems

Toolbox for Simulation and Parameter Identification of Nonlinear Mechanical Systems

Analysis of nonlinear mechanical systems is becoming increasingly important in many applications in automotive, aerospace and other industries. Many experimental techniques for analysis of nonlinear systems have been developed in recent research. It is important to be able to accurately simulate nonlinear systems for various input signals in order to understand dynamic effects of the nonlineari...

On Frequency-Domain Identification of Linear Systems

The maximum-likelihood estimation of the parameters of linear systems and the properties of the estimator (Estimator for Linear Systems, ELiS) have been described in a paper by R. Pintelon and J. Schoukens (“Robust identification of transfer functions in sand z-domain,” IEEE TRANSACTIONS Aug. 1990). The mathematics used in the development of the method and the proofs are rather involved. Howeve...