{"title":"自主模糊学习补偿器和控制器的设计。冗余机械手","authors":"Ranjan Vepa (Dr.), Ann Nowé","doi":"10.1016/S1474-6670(17)49318-9","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper we present two techniques for learning rules for implementing fuzzy controllers. the first of which is based on the application of a suitable control strategy. The second seeks to generate the appropriate control rules to drive the plant towards the desired response. Both techniques are discussed in the context of their application to robot manipulators.</p></div>","PeriodicalId":13260,"journal":{"name":"IFAC Proceedings Volumes","volume":"26 1","pages":"Pages 312-317"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1474-6670(17)49318-9","citationCount":"2","resultStr":"{\"title\":\"Design of Fuzzy Learning Compensators and Controllers for Autonomous. Redundant Robot Manipulators\",\"authors\":\"Ranjan Vepa (Dr.), Ann Nowé\",\"doi\":\"10.1016/S1474-6670(17)49318-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper we present two techniques for learning rules for implementing fuzzy controllers. the first of which is based on the application of a suitable control strategy. The second seeks to generate the appropriate control rules to drive the plant towards the desired response. Both techniques are discussed in the context of their application to robot manipulators.</p></div>\",\"PeriodicalId\":13260,\"journal\":{\"name\":\"IFAC Proceedings Volumes\",\"volume\":\"26 1\",\"pages\":\"Pages 312-317\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S1474-6670(17)49318-9\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IFAC Proceedings Volumes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1474667017493189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC Proceedings Volumes","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1474667017493189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Fuzzy Learning Compensators and Controllers for Autonomous. Redundant Robot Manipulators
In this paper we present two techniques for learning rules for implementing fuzzy controllers. the first of which is based on the application of a suitable control strategy. The second seeks to generate the appropriate control rules to drive the plant towards the desired response. Both techniques are discussed in the context of their application to robot manipulators.
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