{"title":"基于区间2型模糊推理系统的高速公路匝道控制","authors":"Liang Zhao","doi":"10.1109/ICICIP.2010.5564291","DOIUrl":null,"url":null,"abstract":"A wide range of research and application on freeway ramp control have already been carried out in many foreign big cities. National freeway ramp control study is later and more behind and its application is fewer. In this paper, we present the freeway ramp control based on interval type-2 fuzzy controller. In contrast to type-1 fuzzy controller, interval type-2 fuzzy controller can handle uncertain information and anomalistic noise more effectively. Simulation results verify that our proposing method is more effective than some existing methods.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Freeway ramp control based on interval ttype-2 fuzzy inference system\",\"authors\":\"Liang Zhao\",\"doi\":\"10.1109/ICICIP.2010.5564291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A wide range of research and application on freeway ramp control have already been carried out in many foreign big cities. National freeway ramp control study is later and more behind and its application is fewer. In this paper, we present the freeway ramp control based on interval type-2 fuzzy controller. In contrast to type-1 fuzzy controller, interval type-2 fuzzy controller can handle uncertain information and anomalistic noise more effectively. Simulation results verify that our proposing method is more effective than some existing methods.\",\"PeriodicalId\":152024,\"journal\":{\"name\":\"2010 International Conference on Intelligent Control and Information Processing\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Intelligent Control and Information Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIP.2010.5564291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Intelligent Control and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2010.5564291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Freeway ramp control based on interval ttype-2 fuzzy inference system
A wide range of research and application on freeway ramp control have already been carried out in many foreign big cities. National freeway ramp control study is later and more behind and its application is fewer. In this paper, we present the freeway ramp control based on interval type-2 fuzzy controller. In contrast to type-1 fuzzy controller, interval type-2 fuzzy controller can handle uncertain information and anomalistic noise more effectively. Simulation results verify that our proposing method is more effective than some existing methods.