Renpu Zhang, Zhenhua Wang, Nacim Meslem, Tarek Raïssi, Yi Shen
{"title":"基于鲁棒观测器和椭球分析的Lipschitz非线性系统故障检测","authors":"Renpu Zhang, Zhenhua Wang, Nacim Meslem, Tarek Raïssi, Yi Shen","doi":"10.1002/rnc.7918","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article proposes a fault detection method for continuous-time Lipschitz nonlinear systems via robust observer design and ellipsoidal analysis. First, an augmented system is established by considering the fault as an auxiliary state vector. Then, an observer is designed using <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>L</mi>\n </mrow>\n <mrow>\n <mi>∞</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {L}_{\\infty } $$</annotation>\n </semantics></math> performance, which can be applied to generate robust residuals. Then, a residual evaluation method via ellipsoidal analysis is proposed, which is used to check whether the guaranteed estimations of the fault and residual stay confined inside safe regions. Thus, fault detection is achieved through an assessment of a Boolean expression. Finally, two numerical simulation results are given to show the effectiveness and merit of the proposed approach.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 11","pages":"4523-4535"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Detection for Lipschitz Nonlinear Systems Using Robust Observer and Ellipsoidal Analysis\",\"authors\":\"Renpu Zhang, Zhenhua Wang, Nacim Meslem, Tarek Raïssi, Yi Shen\",\"doi\":\"10.1002/rnc.7918\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This article proposes a fault detection method for continuous-time Lipschitz nonlinear systems via robust observer design and ellipsoidal analysis. First, an augmented system is established by considering the fault as an auxiliary state vector. Then, an observer is designed using <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>L</mi>\\n </mrow>\\n <mrow>\\n <mi>∞</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {L}_{\\\\infty } $$</annotation>\\n </semantics></math> performance, which can be applied to generate robust residuals. Then, a residual evaluation method via ellipsoidal analysis is proposed, which is used to check whether the guaranteed estimations of the fault and residual stay confined inside safe regions. Thus, fault detection is achieved through an assessment of a Boolean expression. Finally, two numerical simulation results are given to show the effectiveness and merit of the proposed approach.</p>\\n </div>\",\"PeriodicalId\":50291,\"journal\":{\"name\":\"International Journal of Robust and Nonlinear Control\",\"volume\":\"35 11\",\"pages\":\"4523-4535\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Robust and Nonlinear Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7918\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7918","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Fault Detection for Lipschitz Nonlinear Systems Using Robust Observer and Ellipsoidal Analysis
This article proposes a fault detection method for continuous-time Lipschitz nonlinear systems via robust observer design and ellipsoidal analysis. First, an augmented system is established by considering the fault as an auxiliary state vector. Then, an observer is designed using performance, which can be applied to generate robust residuals. Then, a residual evaluation method via ellipsoidal analysis is proposed, which is used to check whether the guaranteed estimations of the fault and residual stay confined inside safe regions. Thus, fault detection is achieved through an assessment of a Boolean expression. Finally, two numerical simulation results are given to show the effectiveness and merit of the proposed approach.
期刊介绍:
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.