Cascade non-linear system identification by a non-parametric method
作者:
WLODZIMIERZ GREBLICKI,
MIROSLAW PAWLAK,
期刊:
International Journal of Systems Science
(Taylor Available online 1994)
卷期:
Volume 25,
issue 1
页码: 129-153
ISSN:0020-7721
年代: 1994
DOI:10.1080/00207729408928949
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A discrete-time non-linear time series system of a cascade structure is identified. The system consists of a non-linear memoryless element followed by a dynamic linear subsystem. The non-linear characteristic is recovered with the help of the kernel regression estimate. The consistency of the estimate in the presence of correlated noise is examined. The rate of convergence as well as some variance reduction method are established. Data-driven techniques for selection of a smoothing parameter are discussed. The identification of a linear part of the system is also studied
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