文章基本信息

标题：Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ⁎
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作者：H. Luo ; K. Li ; X. Song 等
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