Qiongbin Lin, Shican Chen, Qinqin Chai, Wu Wang, Fenghuang Cai
{"title":"Dissipative fuzzy control of nonlinear networked control systems with multiple packet dropout","authors":"Qiongbin Lin, Shican Chen, Qinqin Chai, Wu Wang, Fenghuang Cai","doi":"10.1109/ANZCC.2017.8298441","DOIUrl":null,"url":null,"abstract":"In this paper, a dynamic output feedback-based fuzzy controller is developed for a class of nonlinear network control system where disturbances and multiple random data dropouts exist. Firstly, the network control system is modeled using Takagi-Sugeno fuzzy rules. Meanwhile, the defective communication links with packets loss in both channels, from the sensor to the controller and from the controller to the actuator, are modeled by stochastic binary switching variables with known probability distributions. Then, by using linear matrix inequality method, the sufficient conditions for the existence of the fuzzy controller, the fuzzy robust controller are designed to guarantee the stability of the closed-loop system.","PeriodicalId":429208,"journal":{"name":"2017 Australian and New Zealand Control Conference (ANZCC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Australian and New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC.2017.8298441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, a dynamic output feedback-based fuzzy controller is developed for a class of nonlinear network control system where disturbances and multiple random data dropouts exist. Firstly, the network control system is modeled using Takagi-Sugeno fuzzy rules. Meanwhile, the defective communication links with packets loss in both channels, from the sensor to the controller and from the controller to the actuator, are modeled by stochastic binary switching variables with known probability distributions. Then, by using linear matrix inequality method, the sufficient conditions for the existence of the fuzzy controller, the fuzzy robust controller are designed to guarantee the stability of the closed-loop system.