Recursive Identification of Hammerstein With Noisy Observations**The work was supported by the NSFC under Grants 61273193, 61120106011, 61134013, the 973 program of China under grant No.2014CB845301, and the National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, and in part by the Army Research Office under grant W911NF-12-1-0223.http://www.hamecmopsys.ens2m.fr-Reference-Cited by-同舟云学术

Recursive Identification of Hammerstein With Noisy Observations**The work was supported by the NSFC under Grants 61273193, 61120106011, 61134013, the 973 program of China under grant No.2014CB845301, and the National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, and in part by the Army Research Office under grant W911NF-12-1-0223.http://www.hamecmopsys.ens2m.fr

Published:2015 Issue:28 Volume:48 Page:1017-1022
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Mu Biqiang,Han-Fu Chen,Wang Le Yi,Yin George

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference13 articles.

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4. Recursive identification for mimo hammerstein systems.;Chen;IEEE Transactions on Automatic Control,2011

5. Use of hammerstein models in identification of nonlinear systems.;Eskinat;AIChE Journal,1991

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