文章基本信息

标题：Robust Fault Detection H ∞ Filter for Markovian Jump Linear Systems with Partial Information on the Jump Parameter
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作者：Leonardo de Paula Carvalho ; André Marcorin de Oliveira ; Oswaldo Luiz do Valle Costa 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：25
页码：202-207
DOI：10.1016/j.ifacol.2018.11.105
语种：English
出版社：Elsevier
摘要：AbstractThe present work focus on the Robust Fault Detection (RFD) problem in the Markovian Jump Linear System framework for the discrete-time domain, in which the Markov parameterθ(k)is considered not accessible. The assumption that the Markov Chain is not accessible brings a challenge where the filter designed for the RFD should not be dependent on the Markov Chain parameter. In order to represent this kind of situation, the implementation of a Hidden Markov Chain to model the system modeθ(k)and the estimated modeθˆ(k)is used. The main result presented in this work is the design of aH∞MJLS Robust Fault Detection filter that depends only on the estimated modeθˆ(k)obtained through LMI formulation. In order to illustrate the feasibility of the proposed solution a numerical example is also included.
关键词：KeywordsMJLSHidden Markov ChainRobust Fault DetectionH∞Filtering