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  • 标题:Study on a Database-driven Controller with Data Clustering Method
  • 本地全文:下载
  • 作者:H. Nakanishi ; S. Wakitani ; T. Yamamoto
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:29
  • 页码:13-18
  • DOI:10.1016/j.ifacol.2019.12.614
  • 语种:English
  • 出版社:Elsevier
  • 摘要:A database-driven PID (DD-PID) control method is one of the effective control methods for nonlinear systems. This scheme requires a database to tune control parameters adaptively. In the conventional the DD-PID control method, there is a problem that the calculation cost and required memory for creating an optimal database are large, and it is difficult to implement the controller into small-sized embedded computers. This paper proposes a method to implement the DD-PID controller with small-sized sub-databases based on the self-organization map (SOM). In the proposed method, sub-databases are constructed by clustering a large scale database using the SOM. Moreover, it is possible to realize the reduction of the required memory and the calculation cost compared to the conventional method by selecting small-sized sub-databases adaptively. A numerical simulation example evaluates the effectiveness of the proposed scheme.
  • 关键词:KeywordsDatabase-driven controlfictitious reference iterative tuning (FRIT)self-organization map (SOM)offline learning
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