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Bias compensation based parameter estimation for dual-rate sampled-data systems

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3 Author(s)
Jie Ding ; Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China ; Heqiang Han ; Feng Ding

This paper deals with the parameter identification for dual-rate sampled-data systems, aiming to identify the systems directly from the dual-rate sampled data. The main idea is carried out by two steps. Firstly, a polynomial transformation technique is employed to change the output-error model for single-rate systems to the one that can directly use the dual-rate sampled data. Secondly, a bias compensation based identification is demonstrated to get the unbiased parameter estimates of the transferred dual-rate model. Simulation examples are given to illustrate the proposed algorithm.

Published in:
Information Science and Technology (ICIST), 2011 International Conference on

Date of Conference: 26-28 March 2011

Page(s):
909 - 914
Print ISBN:
978-1-4244-9440-8
INSPEC Accession Number:
11988777
Conference Location :
Nanjing
Digital Object Identifier :
10.1109/ICIST.2011.5765123
Product Type:
Conference Publications

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