|Table of Contents|

Auxiliary model recursive least square algorithm based multi-signal identification of Hammerstein model

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2014年01期
Page:
34-39
Research Field:
Publishing date:

Info

Title:
Auxiliary model recursive least square algorithm based multi-signal identification of Hammerstein model
Author(s):
Jia Li1Yang Aihua1Qiu Minsen2
1.Shanghai Key Laboratory of Power Station Automation Technology,College of Mechatronics Engineering and Automation,Shanghai University,Shanghai 200072,China; 2.Faculty of Engineering,National University of Singapore,Singapore 119260
Keywords:
Hammerstein models auxiliary models least square algorithm parameter identification multi-signals
PACS:
TP273
DOI:
-
Abstract:
A multi-signal identification algorithm based on auxiliary model recursive least square algorithm for Hammerstein model with process noise is proposed here.The multi-signals are used to realize the identification and separation of Hammerstein model.The concept of auxiliary model is employed into the least square algorithm to obtain the unbiased estimation of the Hammerstein model.The simulation results show the efficiency of the proposed method.

References:

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Last Update: 2014-02-28