{"title":"Robust H∞ fault detection for fuzzy bilinear systems via unknown input observer","authors":"D. Saoudi, M. Chadli, Naceur Benhadj Braeik","doi":"10.1109/MED.2014.6961384","DOIUrl":null,"url":null,"abstract":"In this paper, a new method to design a fault diagnosis based on a Fuzzy Bilinear Observer (FBO) for nonlinear systems is proposed. The nonlinear system is modeled as a Fuzzy Bilinear Model (FBM). Sufficient conditions are established in order to maximize the fault sensitivity and perturbation robustness of the residual generator. These conditions are given in Linear Matrix Inequality (LMI) terms. A numerical example is given to illustrate the effectiveness of the given results.","PeriodicalId":127957,"journal":{"name":"22nd Mediterranean Conference on Control and Automation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2014.6961384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper, a new method to design a fault diagnosis based on a Fuzzy Bilinear Observer (FBO) for nonlinear systems is proposed. The nonlinear system is modeled as a Fuzzy Bilinear Model (FBM). Sufficient conditions are established in order to maximize the fault sensitivity and perturbation robustness of the residual generator. These conditions are given in Linear Matrix Inequality (LMI) terms. A numerical example is given to illustrate the effectiveness of the given results.
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