{"title":"一类线性不确定时滞系统的扩展滑模观测器:时滞相关设计方法","authors":"Boulaabi Iskander, S. Anis, Ben Hmida Fayçal","doi":"10.1109/ICEESA.2013.6578494","DOIUrl":null,"url":null,"abstract":"For uncertain systems an extended Sliding Mode Observer (SMO) delay-dependent design method is presented in this paper. The considered uncertainty is bounded and the time delay is constant and affects simultaneously the input and state system. The basic design idea consists to combine the SMO concept with an adequate choice of a Lyapunov-Krasovskl functional. This design method is numerically tractable via Linear Matrix Inequalities (LMI) optimization. Besides, the dynamic properties of the observer are also analyzed and the reachability condition is satisfied. An illustrative example is given to show the validity and the applicability of the proposed approach.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An extended sliding mode observer for a class of linear uncertain time-delay systems: Delay-dependent design method\",\"authors\":\"Boulaabi Iskander, S. Anis, Ben Hmida Fayçal\",\"doi\":\"10.1109/ICEESA.2013.6578494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For uncertain systems an extended Sliding Mode Observer (SMO) delay-dependent design method is presented in this paper. The considered uncertainty is bounded and the time delay is constant and affects simultaneously the input and state system. The basic design idea consists to combine the SMO concept with an adequate choice of a Lyapunov-Krasovskl functional. This design method is numerically tractable via Linear Matrix Inequalities (LMI) optimization. Besides, the dynamic properties of the observer are also analyzed and the reachability condition is satisfied. An illustrative example is given to show the validity and the applicability of the proposed approach.\",\"PeriodicalId\":212631,\"journal\":{\"name\":\"2013 International Conference on Electrical Engineering and Software Applications\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Electrical Engineering and Software Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEESA.2013.6578494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Electrical Engineering and Software Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEESA.2013.6578494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An extended sliding mode observer for a class of linear uncertain time-delay systems: Delay-dependent design method
For uncertain systems an extended Sliding Mode Observer (SMO) delay-dependent design method is presented in this paper. The considered uncertainty is bounded and the time delay is constant and affects simultaneously the input and state system. The basic design idea consists to combine the SMO concept with an adequate choice of a Lyapunov-Krasovskl functional. This design method is numerically tractable via Linear Matrix Inequalities (LMI) optimization. Besides, the dynamic properties of the observer are also analyzed and the reachability condition is satisfied. An illustrative example is given to show the validity and the applicability of the proposed approach.