Joint two‐stage multi‐innovation recursive least squares parameter and fractional‐order estimation algorithm for the fractional‐order input nonlinear output‐error autoregressive model

Summary This paper mainly investigates the issue of parameter identification for the fractional‐order input nonlinear output error autoregressive (IN‐OEAR) model. In order to avoid the problem of large computation of redundant parameter estimation, the output form of the system can be expressed by a...

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Bibliographic Details

Published in:	International journal of adaptive control and signal processing Vol. 37; no. 7; pp. 1650 - 1670
Main Authors:	Hu, Chong, Ji, Yan, Ma, Caiqing
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 01.07.2023
Subjects:	Algorithms Autoregressive models Error analysis fractional‐order model gradient search hierarchical identification Identification methods Innovations key term separation Least squares multi‐innovation theory Parameter estimation Parameter identification
ISSN:	0890-6327, 1099-1115
Online Access:	Get full text
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