Optimised Wiener models for direction-dependent dynamic systems

Author

Barker, H.A. ; Godfrey, K.R. ; Tan, A.H.

Author_Institution

Dept. of Electr. & Electron. Eng., Wales Univ., Swansea, UK

Volume

6

fYear

2001

fDate

2001

Firstpage

4880

Abstract

Methods for determining optimal parameters for Wiener models of direction-dependent dynamic systems are described. When such a system has first-order dynamics, with parameters dependent on the system output direction, the input-output cross-correlation function contains distinctive patterns when the input is a pseudorandom binary signal based on an m-sequence. Similar patterns are observed in the cross-correlation function of a Wiener model when perturbed by the same signal. Comparing these patterns as the parameters of the Wiener model are changed leads to methods for determining the optimal parameter values

Keywords

dynamics; m-sequences; parameter estimation; stochastic processes; binary m-sequences; direction-dependent dynamic systems; first-order dynamics; input-output cross-correlation function; optimal parameters determination; optimised Wiener models; pseudo-random binary perturbation signals; pseudorandom binary signal; system output direction; AC generators; Nonlinear dynamical systems; Nonlinear systems; Optimization methods; Pulse generation; Signal generators; Signal processing; System identification; Transfer functions; Turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2001. Proceedings of the 2001

Conference_Location

Arlington, VA

ISSN

0743-1619

Print_ISBN

0-7803-6495-3

Type

conf

DOI

10.1109/ACC.2001.945756

Filename

945756