Overall recursive least squares and overall stochastic gradient algorithms and their convergence for feedback nonlinear controlled autoregressive systems

This article deals with the problems of the parameter estimation for feedback nonlinear controlled autoregressive systems (i.e., feedback nonlinear equation‐error systems). The bilinear‐in‐parameter identification model is formulated to describe the feedback nonlinear system. An overall recursive le...

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Bibliographic Details

Published in:	International journal of robust and nonlinear control Vol. 32; no. 9; pp. 5534 - 5554
Main Authors:	Wei, Chun, Zhang, Xiao, Xu, Ling, Ding, Feng, Yang, Erfu
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 01.06.2022
Subjects:	Algorithms bilinear‐in‐parameter model Control systems Convergence convergence analysis Feedback feedback nonlinear system gradient search Least squares Nonlinear control Nonlinear equations Nonlinear systems Parameter estimation Parameter identification Stochastic processes
ISSN:	1049-8923, 1099-1239
Online Access:	Get full text
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