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  • 标题:Recursive identification of Hammerstein ARMAX model with general discontinuous nonlinearity
  • 本地全文:下载
  • 作者:Sofien Rejeb ; Raoudha Bel Hadj Ali ; Fayccedil
  • 期刊名称:Scientific Research and Essays
  • 印刷版ISSN:1992-2248
  • 出版年度:2011
  • 卷号:6
  • 期号:23
  • 页码:4925-4935
  • DOI:10.5897/SRE11.364
  • 语种:English
  • 出版社:Academic Journals
  • 摘要:This paper deals with the recursive parameter identification of the Hammerstein ARMAX (HARMAX) model with General model of discontinuous and asymmetric Nonlinearity (GNL) containing hysteresis, saturation, preload and dead-zone. This model contains different parameters the choice of which may generate several different nonlinearities. The linear and nonlinear structures are known, the linear block parameters are unknown. However the nonlinear block contains nine parameters only one of them is known. The estimation of the nonlinearity parameters, the internal variables relative to the nonlinearity as well as the linear model parameters are ensured by Recursive Extended Least Squares algorithm (RELS). The provided model is validated by simulation results.
  • 关键词:Identification; discontinuous general nonlinearity; HARMAX model; parameter estimation; RELS algorithm
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