{"title":"一类非线性系统的模糊模型伺服控制","authors":"H. Ohtake, Kazuo Tanaka, Hua O. Wang","doi":"10.1109/ISIC.2007.4450877","DOIUrl":null,"url":null,"abstract":"This paper presents servo control for a class of nonlinear systems using the fuzzy model-based control approach. We propose the construction method of augmented fuzzy servo control system for continuous-time nonlinear systems by differentiating the original nonlinear system. Moreover, we introduce the dynamic fuzzy servo controller which can make outputs of the nonlinear systems converge to target points, and derive the controller design conditions in terms of LMIs. A design example illustrates the utility of this approach.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fuzzy Model-based Servo Control for a Class of Nonlinear Systems\",\"authors\":\"H. Ohtake, Kazuo Tanaka, Hua O. Wang\",\"doi\":\"10.1109/ISIC.2007.4450877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents servo control for a class of nonlinear systems using the fuzzy model-based control approach. We propose the construction method of augmented fuzzy servo control system for continuous-time nonlinear systems by differentiating the original nonlinear system. Moreover, we introduce the dynamic fuzzy servo controller which can make outputs of the nonlinear systems converge to target points, and derive the controller design conditions in terms of LMIs. A design example illustrates the utility of this approach.\",\"PeriodicalId\":184867,\"journal\":{\"name\":\"2007 IEEE 22nd International Symposium on Intelligent Control\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 22nd International Symposium on Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.2007.4450877\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 22nd International Symposium on Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2007.4450877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Model-based Servo Control for a Class of Nonlinear Systems
This paper presents servo control for a class of nonlinear systems using the fuzzy model-based control approach. We propose the construction method of augmented fuzzy servo control system for continuous-time nonlinear systems by differentiating the original nonlinear system. Moreover, we introduce the dynamic fuzzy servo controller which can make outputs of the nonlinear systems converge to target points, and derive the controller design conditions in terms of LMIs. A design example illustrates the utility of this approach.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
