{"title":"具有马尔可夫跳变参数的正T-S模糊系统的模糊滤波设计","authors":"Shuqian Zhu, Fengwei Pan, Jun‐e Feng","doi":"10.1109/ANZCC.2018.8606601","DOIUrl":null,"url":null,"abstract":"This paper solves the positivity-preserving l1-gain fuzzy filtering design problem of a positive T-S fuzzy system with Markov jumps. With a fuzzy Markov jumping filter, the resulting system is rewritten as an augmented fuzzy Markov jump system. By linear programming technique, a filtering design result is developed to ensure the resulting system to be positive and stochastically internally stable with prescribed l1-gain performance. The design validity is confirmed by a numerical example.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy filtering design for positive T-S fuzzy systems with Markov jumping parameters\",\"authors\":\"Shuqian Zhu, Fengwei Pan, Jun‐e Feng\",\"doi\":\"10.1109/ANZCC.2018.8606601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper solves the positivity-preserving l1-gain fuzzy filtering design problem of a positive T-S fuzzy system with Markov jumps. With a fuzzy Markov jumping filter, the resulting system is rewritten as an augmented fuzzy Markov jump system. By linear programming technique, a filtering design result is developed to ensure the resulting system to be positive and stochastically internally stable with prescribed l1-gain performance. The design validity is confirmed by a numerical example.\",\"PeriodicalId\":358801,\"journal\":{\"name\":\"2018 Australian & New Zealand Control Conference (ANZCC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Australian & New Zealand Control Conference (ANZCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZCC.2018.8606601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Australian & New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC.2018.8606601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy filtering design for positive T-S fuzzy systems with Markov jumping parameters
This paper solves the positivity-preserving l1-gain fuzzy filtering design problem of a positive T-S fuzzy system with Markov jumps. With a fuzzy Markov jumping filter, the resulting system is rewritten as an augmented fuzzy Markov jump system. By linear programming technique, a filtering design result is developed to ensure the resulting system to be positive and stochastically internally stable with prescribed l1-gain performance. The design validity is confirmed by a numerical example.