{"title":"不确定微分线性重复过程的降阶H∞滤波器设计方法","authors":"S. Kririm, B. E. Haiek, A. Hmamed","doi":"10.1109/ICOSC.2016.7507035","DOIUrl":null,"url":null,"abstract":"This paper is concerned with the reduce-order H∞ filtering problem for uncertain differential linear repetitive processes (LRPs). By establishing a novel version of bounded real lemma, the polynomially parameter-dependent approach is developed to solve the addressed filtering problem, with a new linear matrix inequality condition obtained for the existence of desired H∞ reduce-order filter. Finally, illustrative example are presented to show the applicability of the proposed method.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"111 3S 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Reduced-order H∞ filter design method for uncertain differential linear repetitive processes\",\"authors\":\"S. Kririm, B. E. Haiek, A. Hmamed\",\"doi\":\"10.1109/ICOSC.2016.7507035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is concerned with the reduce-order H∞ filtering problem for uncertain differential linear repetitive processes (LRPs). By establishing a novel version of bounded real lemma, the polynomially parameter-dependent approach is developed to solve the addressed filtering problem, with a new linear matrix inequality condition obtained for the existence of desired H∞ reduce-order filter. Finally, illustrative example are presented to show the applicability of the proposed method.\",\"PeriodicalId\":149249,\"journal\":{\"name\":\"2016 5th International Conference on Systems and Control (ICSC)\",\"volume\":\"111 3S 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th International Conference on Systems and Control (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2016.7507035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2016.7507035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reduced-order H∞ filter design method for uncertain differential linear repetitive processes
This paper is concerned with the reduce-order H∞ filtering problem for uncertain differential linear repetitive processes (LRPs). By establishing a novel version of bounded real lemma, the polynomially parameter-dependent approach is developed to solve the addressed filtering problem, with a new linear matrix inequality condition obtained for the existence of desired H∞ reduce-order filter. Finally, illustrative example are presented to show the applicability of the proposed method.