首页    期刊浏览 2024年10月05日 星期六
登录注册

文章基本信息

  • 标题:Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ⁎
  • 本地全文:下载
  • 作者:H. Luo ; K. Li ; X. Song
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:24
  • 页码:367-372
  • DOI:10.1016/j.ifacol.2018.09.603
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents the research on the closed-loop data-driven design of the process monitoring system. The core of the study is the closed-loop identification of the data-driven stable kernel representation (SKR) of the system. The proposed method takes into account the effects of feedback controller and the noise information in the closed-loop is directly extracted from a single LQ decomposition. The main results and the proposed methods are verified and demonstrated through randomly generated numerical examples.
  • 关键词:KeywordsData-drivenclosed-loop identificationstable kernel representation (SKR)process monitoringfault detectionsubspace method
国家哲学社会科学文献中心版权所有