{"title":"统一迭代学习故障检测与容错控制","authors":"Q. Yan, Youfang Yu, Jianping Cai, Qingping Zhou","doi":"10.1109/DDCLS.2018.8515972","DOIUrl":null,"url":null,"abstract":"In this paper, a unified iterative learning based fault detection and fault-tolerant control scheme is proposed. A system fault detector is constructed by using contraction mapping technique, and LMI technique is applied in the design of Lyapnov-based iterative controller, responsible for solving the state tracking problem no matter whether faults occur or not. Numerical results demonstrate the effectiveness of the proposed unified fault detection and control scheme.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"119 1","pages":"984-989"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Unified Iterative Learning Fault Detection and Fault-Tolerant Control\",\"authors\":\"Q. Yan, Youfang Yu, Jianping Cai, Qingping Zhou\",\"doi\":\"10.1109/DDCLS.2018.8515972\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a unified iterative learning based fault detection and fault-tolerant control scheme is proposed. A system fault detector is constructed by using contraction mapping technique, and LMI technique is applied in the design of Lyapnov-based iterative controller, responsible for solving the state tracking problem no matter whether faults occur or not. Numerical results demonstrate the effectiveness of the proposed unified fault detection and control scheme.\",\"PeriodicalId\":6565,\"journal\":{\"name\":\"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)\",\"volume\":\"119 1\",\"pages\":\"984-989\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DDCLS.2018.8515972\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS.2018.8515972","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Unified Iterative Learning Fault Detection and Fault-Tolerant Control
In this paper, a unified iterative learning based fault detection and fault-tolerant control scheme is proposed. A system fault detector is constructed by using contraction mapping technique, and LMI technique is applied in the design of Lyapnov-based iterative controller, responsible for solving the state tracking problem no matter whether faults occur or not. Numerical results demonstrate the effectiveness of the proposed unified fault detection and control scheme.