{"title":"制动系统的智能控制","authors":"W. K. Lennon, K. Passino","doi":"10.1109/ISIC.1995.525105","DOIUrl":null,"url":null,"abstract":"There exist several problems in the control of brake systems including the development of control logic for antilock braking systems (ABS) and \"base-braking.\" Here, we study the base-braking control problem where we seek to develop a controller that can ensure that the braking torque commanded by the driver will be achieved. In particular, we develop a \"fuzzy model reference learning controller\" and a \"genetic model reference adaptive controller\", and investigate their effectiveness in reducing the effects of variations in the process due to temperature.","PeriodicalId":219623,"journal":{"name":"Proceedings of Tenth International Symposium on Intelligent Control","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"113","resultStr":"{\"title\":\"Intelligent control for brake systems\",\"authors\":\"W. K. Lennon, K. Passino\",\"doi\":\"10.1109/ISIC.1995.525105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There exist several problems in the control of brake systems including the development of control logic for antilock braking systems (ABS) and \\\"base-braking.\\\" Here, we study the base-braking control problem where we seek to develop a controller that can ensure that the braking torque commanded by the driver will be achieved. In particular, we develop a \\\"fuzzy model reference learning controller\\\" and a \\\"genetic model reference adaptive controller\\\", and investigate their effectiveness in reducing the effects of variations in the process due to temperature.\",\"PeriodicalId\":219623,\"journal\":{\"name\":\"Proceedings of Tenth International Symposium on Intelligent Control\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"113\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Tenth International Symposium on Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1995.525105\",\"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 of Tenth International Symposium on Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1995.525105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
There exist several problems in the control of brake systems including the development of control logic for antilock braking systems (ABS) and "base-braking." Here, we study the base-braking control problem where we seek to develop a controller that can ensure that the braking torque commanded by the driver will be achieved. In particular, we develop a "fuzzy model reference learning controller" and a "genetic model reference adaptive controller", and investigate their effectiveness in reducing the effects of variations in the process due to temperature.
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