A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering

Nonlinear systems exist widely in industrial processes. This paper studies the parameter estimation methods of establishing the mathematical models for a class of output nonlinear systems, whose output is nonlinear about the past outputs and linear about the inputs. We use an estimated noise transfe...

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Bibliographic Details

Published in:	Journal of the Franklin Institute Vol. 354; no. 15; pp. 6938 - 6955
Main Authors:	Ding, Feng, Wang, Yanjiao, Dai, Jiyang, Li, Qishen, Chen, Qijia
Format:	Journal Article
Language:	English
Published:	Elmsford Elsevier Ltd 01.10.2017 Elsevier Science Ltd
Subjects:	Algorithms Computer simulation Filtration Least squares method Mathematical models Noise Nonlinear systems Parameter estimation Parameter identification Parameters Simulation Transfer functions
ISSN:	0016-0032, 1879-2693, 0016-0032
Online Access:	Get full text
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