{"title":"模糊模型参考自适应控制系统:全状态反馈与输出反馈","authors":"F. Leung, H.K. Lam, P. Tam","doi":"10.1109/ISCAS.1997.608921","DOIUrl":null,"url":null,"abstract":"The problem of model reference adaptive control (MRAC) for nonlinear time-varying plants based on a fuzzy model is addressed. It is known that this kind of plants can readily be described by a fuzzy model. To tackle the plant parameter variations, an adaptive algorithm is derived to tune a designed fuzzy controller such that the system output follows a desired output from a reference fuzzy plant model. The stability of the closed-loop system is guaranteed. Cases of full-state feedback and output feedback are to be investigated. The results and merits of the proposed algorithms are illustrated by an example for each case.","PeriodicalId":68559,"journal":{"name":"电路与系统学报","volume":"55 6","pages":"665-668 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On fuzzy model reference adaptive control systems: full-state feedback and output feedback\",\"authors\":\"F. Leung, H.K. Lam, P. Tam\",\"doi\":\"10.1109/ISCAS.1997.608921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of model reference adaptive control (MRAC) for nonlinear time-varying plants based on a fuzzy model is addressed. It is known that this kind of plants can readily be described by a fuzzy model. To tackle the plant parameter variations, an adaptive algorithm is derived to tune a designed fuzzy controller such that the system output follows a desired output from a reference fuzzy plant model. The stability of the closed-loop system is guaranteed. Cases of full-state feedback and output feedback are to be investigated. The results and merits of the proposed algorithms are illustrated by an example for each case.\",\"PeriodicalId\":68559,\"journal\":{\"name\":\"电路与系统学报\",\"volume\":\"55 6\",\"pages\":\"665-668 vol.1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"电路与系统学报\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.1997.608921\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"电路与系统学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ISCAS.1997.608921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On fuzzy model reference adaptive control systems: full-state feedback and output feedback
The problem of model reference adaptive control (MRAC) for nonlinear time-varying plants based on a fuzzy model is addressed. It is known that this kind of plants can readily be described by a fuzzy model. To tackle the plant parameter variations, an adaptive algorithm is derived to tune a designed fuzzy controller such that the system output follows a desired output from a reference fuzzy plant model. The stability of the closed-loop system is guaranteed. Cases of full-state feedback and output feedback are to be investigated. The results and merits of the proposed algorithms are illustrated by an example for each case.
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