Convergence of the iterative Hammerstein system identification algorithm

Er-Wei Bai; Duan Li

doi:10.1109/cdc.2004.1429341

Convergence of the iterative Hammerstein system identification algorithm

Er-Wei Bai, Duan Li

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Abstract

It is shown that the iterative algorithm with normalization is convergent in general. Moreover, the convergence takes place in one step (two least squares iterations) for FIR Hammerstein models with i.i.d. inputs.

Original language	English
Title of host publication	2004 43rd IEEE Conference on Decision and Control (CDC)
Publisher	IEEE
Pages	3868-3873
Volume	4
ISBN (Print)	0-7803-8682-5
DOIs	https://doi.org/10.1109/cdc.2004.1429341
Publication status	Published - Dec 2004
Externally published	Yes
Event	43rd IEEE Conference on Decision and Control, CDC 2004 - Nassau, Bahamas Duration: 14 Dec 2004 → 17 Dec 2004

Conference

Conference	43rd IEEE Conference on Decision and Control, CDC 2004
Abbreviated title	CDC 2004
Country/Territory	Bahamas
City	Nassau
Period	14/12/04 → 17/12/04

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@inproceedings{2fc0e78ee19246308cdaf4a33758a49b,

title = "Convergence of the iterative Hammerstein system identification algorithm",

abstract = "It is shown that the iterative algorithm with normalization is convergent in general. Moreover, the convergence takes place in one step (two least squares iterations) for FIR Hammerstein models with i.i.d. inputs.",

author = "Er-Wei Bai and Duan Li",

year = "2004",

month = dec,

doi = "10.1109/cdc.2004.1429341",

language = "English",

isbn = "0-7803-8682-5",

volume = "4",

pages = "3868--3873",

booktitle = "2004 43rd IEEE Conference on Decision and Control (CDC)",

publisher = "IEEE",

address = "United States",

note = "43rd IEEE Conference on Decision and Control, CDC 2004, CDC 2004 ; Conference date: 14-12-2004 Through 17-12-2004",

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TY - GEN

T1 - Convergence of the iterative Hammerstein system identification algorithm

AU - Bai, Er-Wei

AU - Li, Duan

PY - 2004/12

Y1 - 2004/12

N2 - It is shown that the iterative algorithm with normalization is convergent in general. Moreover, the convergence takes place in one step (two least squares iterations) for FIR Hammerstein models with i.i.d. inputs.

AB - It is shown that the iterative algorithm with normalization is convergent in general. Moreover, the convergence takes place in one step (two least squares iterations) for FIR Hammerstein models with i.i.d. inputs.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-14244264133&origin=recordpage

U2 - 10.1109/cdc.2004.1429341

DO - 10.1109/cdc.2004.1429341

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-8682-5

VL - 4

SP - 3868

EP - 3873

BT - 2004 43rd IEEE Conference on Decision and Control (CDC)

PB - IEEE

T2 - 43rd IEEE Conference on Decision and Control, CDC 2004

Y2 - 14 December 2004 through 17 December 2004

ER -

Convergence of the iterative Hammerstein system identification algorithm

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