{"title":"模糊系统的采样数据控制","authors":"Jinnan Luo, Jianming Xiong","doi":"10.1109/ICNSC55942.2022.10004133","DOIUrl":null,"url":null,"abstract":"This paper studies the stability and stabilization of fuzzy systems based on sampled-data control. By making fully use of sampling information, a Lyapunov-Krasovskii functional (LKF) is given. Combing with tighter inequalities and several processing techniques, some results are built to guarantee the fuzzy systems to be stable. Finally, the sampled-data controller is designed.","PeriodicalId":230499,"journal":{"name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sampled-data control of fuzzy systems\",\"authors\":\"Jinnan Luo, Jianming Xiong\",\"doi\":\"10.1109/ICNSC55942.2022.10004133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the stability and stabilization of fuzzy systems based on sampled-data control. By making fully use of sampling information, a Lyapunov-Krasovskii functional (LKF) is given. Combing with tighter inequalities and several processing techniques, some results are built to guarantee the fuzzy systems to be stable. Finally, the sampled-data controller is designed.\",\"PeriodicalId\":230499,\"journal\":{\"name\":\"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSC55942.2022.10004133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC55942.2022.10004133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper studies the stability and stabilization of fuzzy systems based on sampled-data control. By making fully use of sampling information, a Lyapunov-Krasovskii functional (LKF) is given. Combing with tighter inequalities and several processing techniques, some results are built to guarantee the fuzzy systems to be stable. Finally, the sampled-data controller is designed.
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