{"title":"基于自适应学习的不确定非线性系统容错控制","authors":"Qinmin Yang, Bingnan Liu, Zhiwen Yu","doi":"10.1109/ICMLC.2012.6359573","DOIUrl":null,"url":null,"abstract":"This paper introduces a fault tolerant controller design for nonlinear unknown systems with multiple actuators and bounded disturbance. The controller consists of an adaptive learning-based control law and a switching function mechanism. The adaptive control law is implemented by a two-layer neural network and the switching function is designed to automatically search for the correct switching vector to turn off the unknown faulty actuator if there is any. The stability of the system output under the occurrence of actuator failure is proved through standard Lyapunov approach, while the other signals are guaranteed to be bounded. The theoretical result is substantiated by a simulation example with a continuous stirred tank reactor.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive learning based fault tolerant control for uncertain nonlinear systems\",\"authors\":\"Qinmin Yang, Bingnan Liu, Zhiwen Yu\",\"doi\":\"10.1109/ICMLC.2012.6359573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a fault tolerant controller design for nonlinear unknown systems with multiple actuators and bounded disturbance. The controller consists of an adaptive learning-based control law and a switching function mechanism. The adaptive control law is implemented by a two-layer neural network and the switching function is designed to automatically search for the correct switching vector to turn off the unknown faulty actuator if there is any. The stability of the system output under the occurrence of actuator failure is proved through standard Lyapunov approach, while the other signals are guaranteed to be bounded. The theoretical result is substantiated by a simulation example with a continuous stirred tank reactor.\",\"PeriodicalId\":128006,\"journal\":{\"name\":\"2012 International Conference on Machine Learning and Cybernetics\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2012.6359573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2012.6359573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive learning based fault tolerant control for uncertain nonlinear systems
This paper introduces a fault tolerant controller design for nonlinear unknown systems with multiple actuators and bounded disturbance. The controller consists of an adaptive learning-based control law and a switching function mechanism. The adaptive control law is implemented by a two-layer neural network and the switching function is designed to automatically search for the correct switching vector to turn off the unknown faulty actuator if there is any. The stability of the system output under the occurrence of actuator failure is proved through standard Lyapunov approach, while the other signals are guaranteed to be bounded. The theoretical result is substantiated by a simulation example with a continuous stirred tank reactor.