{"title":"基于方向基函数的在线自适应模糊神经辨识","authors":"Wenming Cao, H. Feng, Lu Fei, Shoujue Wang","doi":"10.1109/ICCIMA.2003.1238149","DOIUrl":null,"url":null,"abstract":"This paper presents a robust adaptive fuzzy direction basis function neural controller (AFDBFNC) suitable for identification based on direction basis function. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure; (2) online learning ability of nonlinear systems; (3) fast learning speed; (4) adaptive control. Simulation example is included to confirm the validity and performance of the proposed control algorithm.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Online adaptive fuzzy neural identification based on direction basis function\",\"authors\":\"Wenming Cao, H. Feng, Lu Fei, Shoujue Wang\",\"doi\":\"10.1109/ICCIMA.2003.1238149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a robust adaptive fuzzy direction basis function neural controller (AFDBFNC) suitable for identification based on direction basis function. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure; (2) online learning ability of nonlinear systems; (3) fast learning speed; (4) adaptive control. Simulation example is included to confirm the validity and performance of the proposed control algorithm.\",\"PeriodicalId\":385362,\"journal\":{\"name\":\"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIMA.2003.1238149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIMA.2003.1238149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online adaptive fuzzy neural identification based on direction basis function
This paper presents a robust adaptive fuzzy direction basis function neural controller (AFDBFNC) suitable for identification based on direction basis function. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure; (2) online learning ability of nonlinear systems; (3) fast learning speed; (4) adaptive control. Simulation example is included to confirm the validity and performance of the proposed control algorithm.