{"title":"具有单元有界不确定性的分数阶互联系统的分散鲁棒H∞控制器设计","authors":"Fuzheng Chen, Junguo Lu, Yubin Miao","doi":"10.1109/CCDC.2017.7978987","DOIUrl":null,"url":null,"abstract":"In this paper, the decentralized H∞ control problem for the fractional order interconnected systems with element-bounded uncertainties is investigated. A sufficient condition for designing the decentralized state feedback controllers, which guarantees that the fractional order closed loop interconnected systems are asymptotically stable and satisfy a prescribed H∞ performance, is derived and transformed into the solvability problem of linear matrix inequalities. Furthermore, the gains of the decentralized state feedback controllers are optimized as low as possible by solving the convex optimization problem with linear matrix inequality constraints. A simulation example is given to demonstrate the validity of the proposed approach.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"35 1","pages":"2790-2795"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Decentralized robust H∞ controller design for fractional order interconnected systems with element-bounded uncertainties\",\"authors\":\"Fuzheng Chen, Junguo Lu, Yubin Miao\",\"doi\":\"10.1109/CCDC.2017.7978987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the decentralized H∞ control problem for the fractional order interconnected systems with element-bounded uncertainties is investigated. A sufficient condition for designing the decentralized state feedback controllers, which guarantees that the fractional order closed loop interconnected systems are asymptotically stable and satisfy a prescribed H∞ performance, is derived and transformed into the solvability problem of linear matrix inequalities. Furthermore, the gains of the decentralized state feedback controllers are optimized as low as possible by solving the convex optimization problem with linear matrix inequality constraints. A simulation example is given to demonstrate the validity of the proposed approach.\",\"PeriodicalId\":6588,\"journal\":{\"name\":\"2017 29th Chinese Control And Decision Conference (CCDC)\",\"volume\":\"35 1\",\"pages\":\"2790-2795\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 29th Chinese Control And Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2017.7978987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 29th Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2017.7978987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decentralized robust H∞ controller design for fractional order interconnected systems with element-bounded uncertainties
In this paper, the decentralized H∞ control problem for the fractional order interconnected systems with element-bounded uncertainties is investigated. A sufficient condition for designing the decentralized state feedback controllers, which guarantees that the fractional order closed loop interconnected systems are asymptotically stable and satisfy a prescribed H∞ performance, is derived and transformed into the solvability problem of linear matrix inequalities. Furthermore, the gains of the decentralized state feedback controllers are optimized as low as possible by solving the convex optimization problem with linear matrix inequality constraints. A simulation example is given to demonstrate the validity of the proposed approach.