A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation

Mathematical models are basic for designing controller and system identification is the theory and methods for establishing the mathematical models of practical systems. This paper considers the parameter identification for Hammerstein controlled autoregressive systems. Using the key term separation...

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Vydané v:	Journal of the Franklin Institute Ročník 355; číslo 8; s. 3737 - 3752
Hlavní autori:	Ding, Feng, Chen, Huibo, Xu, Ling, Dai, Jiyang, Li, Qishen, Hayat, Tasawar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elmsford Elsevier Ltd 01.05.2018 Elsevier Science Ltd
Predmet:	Algorithms Computer simulation Computing time Control systems design Identification methods Least squares Mathematical models Multivariate analysis Nonlinear systems Parameter estimation Parameter identification Product quality Regression analysis Separation System identification
ISSN:	0016-0032, 1879-2693, 0016-0032
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