M. J. Lacerda, S. Tarbouriech, G. García, P. Peres
{"title":"H-Infinity Filter Design for Nonlinear Quadratic Systems","authors":"M. J. Lacerda, S. Tarbouriech, G. García, P. Peres","doi":"10.3182/20130904-3-FR-2041.00066","DOIUrl":null,"url":null,"abstract":"This paper is concerned with the problem of H∞ filtering for continuous-time nonlinear quadratic systems. The aim is to design a full order dynamic fi lter that can also contain quadratic terms. The strategy relies on the use of a quadratic Lyapunov function and an inequality condition that assures an H∞ performance bound for the augmented quadratic system, composed by the original system and the filter to be designed, in a regional (local) context. Then , by using the Finsler's lemma, an enlarged parameter space is created, where the Lyapunov matrix appears separated from the system matrices. Imposing structural constraints to the decision variables , theoretical conditions, which can be treated as linear matrix inequality conditions by fixing a grid on a sc alar parameter, can be derived for the filter design. As illustrated by numerical experiments, the proposed conditions can improve the H∞ performance provided by linear filters by including the quad ratic terms in the filter dynamics.","PeriodicalId":420241,"journal":{"name":"IFAC Symposium on Nonlinear Control Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC Symposium on Nonlinear Control Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3182/20130904-3-FR-2041.00066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper is concerned with the problem of H∞ filtering for continuous-time nonlinear quadratic systems. The aim is to design a full order dynamic fi lter that can also contain quadratic terms. The strategy relies on the use of a quadratic Lyapunov function and an inequality condition that assures an H∞ performance bound for the augmented quadratic system, composed by the original system and the filter to be designed, in a regional (local) context. Then , by using the Finsler's lemma, an enlarged parameter space is created, where the Lyapunov matrix appears separated from the system matrices. Imposing structural constraints to the decision variables , theoretical conditions, which can be treated as linear matrix inequality conditions by fixing a grid on a sc alar parameter, can be derived for the filter design. As illustrated by numerical experiments, the proposed conditions can improve the H∞ performance provided by linear filters by including the quad ratic terms in the filter dynamics.