Creator:
Contributor:
Triggiani, Roberto- ed. ; Maksimov, Vyacheslav I. - ed.
Title:
Recursive identification of Wiener systems
Subtitle:
Mathematical Methods of Optimization and Control of Large-Scale Systems
Group publication title:
Subject and Keywords:
Wiener system ; system identification ; recursive identification ; nonparametric identification
Abstract:
A Wiener system, i.e. a cascade system consisting of a linear dynamic subsystem and a nonlinear memoryless subsystem is identified. The a priori information is nonparametric, i.e. neither the functional form of the nonlinear characteristic nor the order of the dynamic part are known. Both the input signal and the disturbance are Gaussian white random processes. ; Recursive algorithms to estimate the nonlinear characteristic are proposed and their convergence is shown. Results of numerical simulation are also given. A known algorithm recovering the impulse response of the dynamic part is presented in a recursive form.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Date:
Resource Type:
Pages:
Source:
AMCS, volume 11, number 4 (2001) ; click here to follow the link