{"title":"H","authors":"L. h., Uke, Haefer, G. Ford","doi":"10.1002/9781119548836.ch8","DOIUrl":null,"url":null,"abstract":"In this work, we propose a solution to the performance problem described by 𝐻 (cid:2998) adaptive observer Here, a linear polytopic varying systems is considered and also submitted to actuator faults. A new convex optimization theorem in terms of linear matrix (LMI) is given. In fact the solution guaranties 𝐻 (cid:2998) performance. To resolve the BMI problem, we introduce a new variable in order separate the Lyapunov function and the observer gain. The corresponding proofs of convergence are developed based on a polyquadratic approach. The efficiency and the performances of the proposed adaptive observer are illustrated on controlling a VTOL air craft.","PeriodicalId":394324,"journal":{"name":"The Princeton Handbook of Multicultural Poetries","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1921-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"H\",\"authors\":\"L. h., Uke, Haefer, G. Ford\",\"doi\":\"10.1002/9781119548836.ch8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we propose a solution to the performance problem described by 𝐻 (cid:2998) adaptive observer Here, a linear polytopic varying systems is considered and also submitted to actuator faults. A new convex optimization theorem in terms of linear matrix (LMI) is given. In fact the solution guaranties 𝐻 (cid:2998) performance. To resolve the BMI problem, we introduce a new variable in order separate the Lyapunov function and the observer gain. The corresponding proofs of convergence are developed based on a polyquadratic approach. The efficiency and the performances of the proposed adaptive observer are illustrated on controlling a VTOL air craft.\",\"PeriodicalId\":394324,\"journal\":{\"name\":\"The Princeton Handbook of Multicultural Poetries\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1921-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Princeton Handbook of Multicultural Poetries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/9781119548836.ch8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Princeton Handbook of Multicultural Poetries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9781119548836.ch8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this work, we propose a solution to the performance problem described by 𝐻 (cid:2998) adaptive observer Here, a linear polytopic varying systems is considered and also submitted to actuator faults. A new convex optimization theorem in terms of linear matrix (LMI) is given. In fact the solution guaranties 𝐻 (cid:2998) performance. To resolve the BMI problem, we introduce a new variable in order separate the Lyapunov function and the observer gain. The corresponding proofs of convergence are developed based on a polyquadratic approach. The efficiency and the performances of the proposed adaptive observer are illustrated on controlling a VTOL air craft.