A multiple-input-single-output fractional-order Hammerstein model identification based on modified neural network-Reference-Cited by-同舟云学术

A multiple-input-single-output fractional-order Hammerstein model identification based on modified neural network

Published:2018-07-02 Issue:16 Volume:41 Page:6252-6271
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Meth Appl Sci

Author:

Jahani Moghaddam Mohammad¹,Mojallali Hamed²^ORCID,Teshnehlab Mohammad³

Affiliation:

1. Department of Electrical Engineering, Science and Research Branch; Islamic Azad University; Tehran Iran

2. Department of Electrical Engineering, Faculty of Engineering; University of Guilan; Rasht Iran

3. Department of Control Engineering, Faculty of Electrical Engineering; K.N. Toosi University of Technology; P.O. Box 16315-1355, Tehran Iran

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mma.5136/fullpdf

Reference45 articles.

1. Identification of systems containing linear dynamic and static nonlinear elements;Billings;Automatica,1982

2. A new method for the identification of Hammerstein model;Al-Duwaish;Automatica.,1997

3. Analysis and identification of Hammerstein model non-linear delay systems using block-pulse function expansions;Kung;Int J Control,1986

4. Generalized predictive control system design based on non-linear identification by using Hammerstein model;Adachi;Trans Inst Syst Control Inf Eng,1995

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