{"title":"基于观测器的开关式严格反馈非线性系统自适应跟踪方法(带状态量化和传感器故障","authors":"Chen Chen, Jinghao Li, Huimin Wang","doi":"10.1016/j.jfranklin.2024.107309","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the adaptive tracking problems of switched single-input single-output strict-feedback nonlinear systems with state quantization and sensor faults. In order to alleviate the influence of the potential sensor faults and smooth the discontinuous quantized signals, a state observer is established. Then, an observer-based adaptive quantized fault-tolerant controller is designed by introducing a set of new error variables. It is shown that the presented approach can enable the output tracking error to be arbitrarily small. At last, three examples are given to illustrate the effectiveness of the presented method.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107309"},"PeriodicalIF":3.7000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An observer-based approach to adaptive tracking for switched strict-feedback nonlinear systems with state quantization and sensor faults\",\"authors\":\"Chen Chen, Jinghao Li, Huimin Wang\",\"doi\":\"10.1016/j.jfranklin.2024.107309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper investigates the adaptive tracking problems of switched single-input single-output strict-feedback nonlinear systems with state quantization and sensor faults. In order to alleviate the influence of the potential sensor faults and smooth the discontinuous quantized signals, a state observer is established. Then, an observer-based adaptive quantized fault-tolerant controller is designed by introducing a set of new error variables. It is shown that the presented approach can enable the output tracking error to be arbitrarily small. At last, three examples are given to illustrate the effectiveness of the presented method.</div></div>\",\"PeriodicalId\":17283,\"journal\":{\"name\":\"Journal of The Franklin Institute-engineering and Applied Mathematics\",\"volume\":\"361 18\",\"pages\":\"Article 107309\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The Franklin Institute-engineering and Applied Mathematics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0016003224007300\",\"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":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003224007300","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}
An observer-based approach to adaptive tracking for switched strict-feedback nonlinear systems with state quantization and sensor faults
This paper investigates the adaptive tracking problems of switched single-input single-output strict-feedback nonlinear systems with state quantization and sensor faults. In order to alleviate the influence of the potential sensor faults and smooth the discontinuous quantized signals, a state observer is established. Then, an observer-based adaptive quantized fault-tolerant controller is designed by introducing a set of new error variables. It is shown that the presented approach can enable the output tracking error to be arbitrarily small. At last, three examples are given to illustrate the effectiveness of the presented method.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.