文章基本信息

标题：Fractional Hammerstein system identification based on two decomposition principles
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作者：Karima Hammar ; Tounsia Djamah ; Maamar Bettayeb 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：13
页码：206-210
DOI：10.1016/j.ifacol.2019.11.106
语种：English
出版社：Elsevier
摘要：This paper deals with fractional non-linear system identification, where the Hammerstein Controlled Auto-Regression (HCAR) model is considered. The identification process is derived for the regression form of the HCAR system based on the Over-parametrization principle and the Key-term separation principle. Levenberg-Marquardt algorithm combined with each of these principles is developed to identify the fractional HCAR system. Various simulations test the efficiency of the optimization method based on these principles.