{"title":"误差传播模糊控制系统","authors":"Les M. Sztandera","doi":"10.1016/1069-0115(94)00045-4","DOIUrl":null,"url":null,"abstract":"<div><p>A concept of a fuzzy control system that adjusts itself upon the error propagation between the real system and the model is introduced. Different possible error outcomes are defined, namely, right (left) error, right (left) missed error, rule lost error, symmetry lost error, right (left) shift error, and nonresponsive error. An application to the truck backer-upper control problem is presented to corroborate the theory and demonstrate the utility of the approach to fuzzy control.</p></div>","PeriodicalId":100668,"journal":{"name":"Information Sciences - Applications","volume":"3 2","pages":"Pages 75-89"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1069-0115(94)00045-4","citationCount":"3","resultStr":"{\"title\":\"Error propagation fuzzy control system\",\"authors\":\"Les M. Sztandera\",\"doi\":\"10.1016/1069-0115(94)00045-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A concept of a fuzzy control system that adjusts itself upon the error propagation between the real system and the model is introduced. Different possible error outcomes are defined, namely, right (left) error, right (left) missed error, rule lost error, symmetry lost error, right (left) shift error, and nonresponsive error. An application to the truck backer-upper control problem is presented to corroborate the theory and demonstrate the utility of the approach to fuzzy control.</p></div>\",\"PeriodicalId\":100668,\"journal\":{\"name\":\"Information Sciences - Applications\",\"volume\":\"3 2\",\"pages\":\"Pages 75-89\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/1069-0115(94)00045-4\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Sciences - Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/1069011594000454\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Sciences - Applications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/1069011594000454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A concept of a fuzzy control system that adjusts itself upon the error propagation between the real system and the model is introduced. Different possible error outcomes are defined, namely, right (left) error, right (left) missed error, rule lost error, symmetry lost error, right (left) shift error, and nonresponsive error. An application to the truck backer-upper control problem is presented to corroborate the theory and demonstrate the utility of the approach to fuzzy control.
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