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文章基本信息

  • 标题:Recursive identification algorithm for dynamic systems with output backlash and its convergence
  • 本地全文:下载
  • 作者:Ruili Dong ; Qingyuan Tan ; Yonghong Tan
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2009
  • 卷号:19
  • 期号:4
  • DOI:10.2478/v10006-009-0050-2
  • 出版社:De Gruyter Open
  • 摘要:This paper proposes a recursive identification method for systems with output backlash that can be described by a pseudo- Wiener model. In this method, a novel description of the nonlinear part of the system, i.e., backlash, is developed. In this case, the nonlinear system is decomposed into a piecewise linearized model. Then, a modified recursive general identification algorithm (MRGIA) is employed to estimate the parameters of the proposed model. Furthermore, the convergence of the MRGIA for the pseudo-Wiener system with backlash is analysed. Finally, a numerical example is presented
  • 关键词:nonlinear system; backlash; recursive identification; pseudo-Wiener model
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