Mohammad Khademi, I. Izadi, M. Kamali, Farid Sheiholeslam
{"title":"一种用于网络控制系统延迟补偿的自适应模糊反步控制器","authors":"Mohammad Khademi, I. Izadi, M. Kamali, Farid Sheiholeslam","doi":"10.1109/IranianCEE.2019.8786441","DOIUrl":null,"url":null,"abstract":"In this paper, controller design for networked control systems with input delay and output limitations is studied. An auxiliary signal is defined to separate the input delay from system input. Also, barrier Lyapunov functions are utilized to deal with output limitations. The nonlinear functions in the model, which assumed unknown, are another limitation. These unknown nonlinear functions are estimated using fuzzy logic systems. Based on these techniques a controller is designed. Stability analysis proves that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded. Simulation results are provided to support the theory.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"13 1","pages":"1157-1162"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Adaptive Fuzzy Backstepping Controller for Delay Compensation in Networked Control Systems\",\"authors\":\"Mohammad Khademi, I. Izadi, M. Kamali, Farid Sheiholeslam\",\"doi\":\"10.1109/IranianCEE.2019.8786441\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, controller design for networked control systems with input delay and output limitations is studied. An auxiliary signal is defined to separate the input delay from system input. Also, barrier Lyapunov functions are utilized to deal with output limitations. The nonlinear functions in the model, which assumed unknown, are another limitation. These unknown nonlinear functions are estimated using fuzzy logic systems. Based on these techniques a controller is designed. Stability analysis proves that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded. Simulation results are provided to support the theory.\",\"PeriodicalId\":6683,\"journal\":{\"name\":\"2019 27th Iranian Conference on Electrical Engineering (ICEE)\",\"volume\":\"13 1\",\"pages\":\"1157-1162\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 27th Iranian Conference on Electrical Engineering (ICEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IranianCEE.2019.8786441\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IranianCEE.2019.8786441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Adaptive Fuzzy Backstepping Controller for Delay Compensation in Networked Control Systems
In this paper, controller design for networked control systems with input delay and output limitations is studied. An auxiliary signal is defined to separate the input delay from system input. Also, barrier Lyapunov functions are utilized to deal with output limitations. The nonlinear functions in the model, which assumed unknown, are another limitation. These unknown nonlinear functions are estimated using fuzzy logic systems. Based on these techniques a controller is designed. Stability analysis proves that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded. Simulation results are provided to support the theory.