文章基本信息

标题：Robust Fault Detection for switched Takagi-Sugeno systems with unmeasurable premise variables: Interval-Observer-based approach
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作者：Yosr Garbouj ; Thach Ngoc Dinh ; Zhenhua Wang 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：7947-7952
DOI：10.1016/j.ifacol.2020.12.2188
语种：English
出版社：Elsevier
摘要：AbstractThis paper deals with the problem of robust fault detection for continuous-time switched Takagi-Sugeno (T-S) fuzzy models. A procedure based on interval observers is proposed. First, an interval observer is designed under the assumption that the disturbances as well as the uncertainties are unknown but bounded. Stability and nonnegativity properties are given in terms of Linear Matrix Inequalities (LMIs) taking into account disturbances attenuation. Next, residual intervals generated by the interval observer are used for fault detection decision. Finally, a numerical example is provided to show the usefulness of this approach.
关键词：KeywordsNonlinear switched systeminterval observer designTakagi-Sugeno modelsunmeasurable premise variablesstabilityrobustness