文章基本信息

标题：Randomized Algorithm Based Fault Detection System Design for Uncertain LTI Systems
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作者：M. Krueger ; T. Koenings ; Y. Liu 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：3648-3653
DOI：10.1016/j.ifacol.2017.08.711
语种：English
出版社：Elsevier
摘要：AbstractThis paper studies the design of fault detection (FD) system for uncertain linear time-invariant (LTI) systems based on randomized algorithms. With the help of probabilistic robustness techniques, an iterative design approach is proposed to determine the post-filter of observer-based residual generators with direct incorporation of the probability distribution of the model parameter uncertainties into the design procedure. The effectiveness of the proposed approach is demonstrated with an illustrative example.
关键词：KeywordsFault detectionRandomized algorithmUncertain systems