{"title":"基于未知输入观测器的模糊双线性系统鲁棒H∞故障检测","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":"{\"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}","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}
Robust H∞ fault detection for fuzzy bilinear systems via unknown input observer
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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