M. Masmoudi, I. Song, F. Karray, M. Masmoudi, N. Derbel
{"title":"硬件/软件方法的FPGA实现模糊逻辑控制器","authors":"M. Masmoudi, I. Song, F. Karray, M. Masmoudi, N. Derbel","doi":"10.1109/DTIS.2006.1708690","DOIUrl":null,"url":null,"abstract":"This paper presents different approaches to design and implement a fuzzy logic controller (FLC) for an intelligent parking system (IPS). In recent years fuzzy logic has been adopted for scientific and engineering applications. FLC is particularly successful in the area of system control when human expert knowledge is available. It provides an alternative much simpler than the use of an analytical model. FLC can be implemented on an FPGA (field-programmable gate array) using software or hardware approach. With the software approach, FLC is performed on a flexible FPGA soft core processor. The FLC is developed and tested on a reconfigurable FPGA board","PeriodicalId":399250,"journal":{"name":"International Conference on Design and Test of Integrated Systems in Nanoscale Technology, 2006. DTIS 2006.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Hardware/software approache for the FPGA implementation of a fuzzy logic controller\",\"authors\":\"M. Masmoudi, I. Song, F. Karray, M. Masmoudi, N. Derbel\",\"doi\":\"10.1109/DTIS.2006.1708690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents different approaches to design and implement a fuzzy logic controller (FLC) for an intelligent parking system (IPS). In recent years fuzzy logic has been adopted for scientific and engineering applications. FLC is particularly successful in the area of system control when human expert knowledge is available. It provides an alternative much simpler than the use of an analytical model. FLC can be implemented on an FPGA (field-programmable gate array) using software or hardware approach. With the software approach, FLC is performed on a flexible FPGA soft core processor. The FLC is developed and tested on a reconfigurable FPGA board\",\"PeriodicalId\":399250,\"journal\":{\"name\":\"International Conference on Design and Test of Integrated Systems in Nanoscale Technology, 2006. DTIS 2006.\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Design and Test of Integrated Systems in Nanoscale Technology, 2006. DTIS 2006.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DTIS.2006.1708690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Design and Test of Integrated Systems in Nanoscale Technology, 2006. DTIS 2006.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTIS.2006.1708690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hardware/software approache for the FPGA implementation of a fuzzy logic controller
This paper presents different approaches to design and implement a fuzzy logic controller (FLC) for an intelligent parking system (IPS). In recent years fuzzy logic has been adopted for scientific and engineering applications. FLC is particularly successful in the area of system control when human expert knowledge is available. It provides an alternative much simpler than the use of an analytical model. FLC can be implemented on an FPGA (field-programmable gate array) using software or hardware approach. With the software approach, FLC is performed on a flexible FPGA soft core processor. The FLC is developed and tested on a reconfigurable FPGA board