{"title":"模糊与神经模糊系统混沌状态的表征与控制","authors":"H. Teodorescu, D. Mlynek, X. Peillon","doi":"10.23919/ECC.1999.7099994","DOIUrl":null,"url":null,"abstract":"Issues related to the characterization and control of the chaotic regime of fuzzy and neuro-fuzzy systems used in industrial applications are addressed. The sensitivity analysis for chaotic fuzzy and neuro-fuzzy systems, and choice of the operating region for the chaotic regime are presented. A new type of control, specific to chaotic systems, is introduced. The methodology of this type of control is based on a method to globally characterize the chaotic regime.","PeriodicalId":117668,"journal":{"name":"1999 European Control Conference (ECC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Characterization and control of the chaotic regime in fuzzy and neuro-fuzzy systems\",\"authors\":\"H. Teodorescu, D. Mlynek, X. Peillon\",\"doi\":\"10.23919/ECC.1999.7099994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Issues related to the characterization and control of the chaotic regime of fuzzy and neuro-fuzzy systems used in industrial applications are addressed. The sensitivity analysis for chaotic fuzzy and neuro-fuzzy systems, and choice of the operating region for the chaotic regime are presented. A new type of control, specific to chaotic systems, is introduced. The methodology of this type of control is based on a method to globally characterize the chaotic regime.\",\"PeriodicalId\":117668,\"journal\":{\"name\":\"1999 European Control Conference (ECC)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC.1999.7099994\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC.1999.7099994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterization and control of the chaotic regime in fuzzy and neuro-fuzzy systems
Issues related to the characterization and control of the chaotic regime of fuzzy and neuro-fuzzy systems used in industrial applications are addressed. The sensitivity analysis for chaotic fuzzy and neuro-fuzzy systems, and choice of the operating region for the chaotic regime are presented. A new type of control, specific to chaotic systems, is introduced. The methodology of this type of control is based on a method to globally characterize the chaotic regime.
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