Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory

Summary This article studies the parameter estimation problems of radial basis function‐based state‐dependent autoregressive models with autoregressive noises (RBF‐ARAR models). To reduce the effect of the colored noise to parameter estimation, the data filtering technique is applied and a filtering...

Full description

Bibliographic Details

Published in:	International journal of robust and nonlinear control Vol. 30; no. 17; pp. 7619 - 7634
Main Authors:	Zhou, Yihong, Ma, Fengying, Ding, Feng, Xu, Ling, Alsaedi, Ahmed, Hayat, Tasawar
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 25.11.2020
Subjects:	Algorithms Autoregressive models filtering technique Filtration nonlinear model Parameter estimation Parameter identification Radial basis function RBF‐ARAR model Transient performance
ISSN:	1049-8923, 1099-1239
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!