{"title":"具有时不变延迟的模糊系统的改进结果","authors":"Juanjuan Liu, Likui Wang","doi":"10.1109/ICACI52617.2021.9435878","DOIUrl":null,"url":null,"abstract":"It is shown in [20] that the HPMFD is an efficient method to deal with fuzzy system. In this paper, we extend this method to fuzzy systems with time invariant delay. The matrices in the Lyapunov-Krasovskii functional are designed as HPMFD and the time derivative are also analyzed by applying a switching method. In the end, an example is presented to compare with other method and less conservative results can be obtained by increasing the degree of HPMFD matrices.","PeriodicalId":382483,"journal":{"name":"2021 13th International Conference on Advanced Computational Intelligence (ICACI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved result for fuzzy systems with time invariant delay\",\"authors\":\"Juanjuan Liu, Likui Wang\",\"doi\":\"10.1109/ICACI52617.2021.9435878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is shown in [20] that the HPMFD is an efficient method to deal with fuzzy system. In this paper, we extend this method to fuzzy systems with time invariant delay. The matrices in the Lyapunov-Krasovskii functional are designed as HPMFD and the time derivative are also analyzed by applying a switching method. In the end, an example is presented to compare with other method and less conservative results can be obtained by increasing the degree of HPMFD matrices.\",\"PeriodicalId\":382483,\"journal\":{\"name\":\"2021 13th International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 13th International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI52617.2021.9435878\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 13th International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI52617.2021.9435878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved result for fuzzy systems with time invariant delay
It is shown in [20] that the HPMFD is an efficient method to deal with fuzzy system. In this paper, we extend this method to fuzzy systems with time invariant delay. The matrices in the Lyapunov-Krasovskii functional are designed as HPMFD and the time derivative are also analyzed by applying a switching method. In the end, an example is presented to compare with other method and less conservative results can be obtained by increasing the degree of HPMFD matrices.
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