期刊
AUTOMATICA
卷 46, 期 3, 页码 549-554出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2010.01.007
关键词
Recursive identification; Parameter estimation; Stochastic gradient; Least squares; Multirate systems
资金
- National Natural Science Foundation of China [50876093]
- Science and Technology Department of Zhejiang Province, China [2009C34008]
- National High-Tech Research & Development Program [2006AA05Z226]
This paper studies modeling and identification problems for multi-input multirate systems with colored noises. The state-space models are derived for the systems with different input updating periods and furthermore the corresponding transfer functions are obtained. To solve the difficulty of identification models with unmeasurable noises terms, the least squares based iterative algorithm is presented by replacing the unmeasurable variables with their iterative estimates. Finally, the simulation results indicate that the proposed iterative algorithm has advantages over the recursive algorithms. (C) 2010 Elsevier Ltd. All rights reserved.
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