{"title":"模糊逻辑在调节任务中的应用","authors":"L. P. Kozlova, O. Kozlova","doi":"10.1109/scm55405.2022.9794876","DOIUrl":null,"url":null,"abstract":"Modern systems assume a high degree of automation of technological processes. This is accomplished by dividing into smaller specifications. One such problem is the need to build a regulator. Classical regulation systems are well studied and actively used, but their effectiveness is greatly reduced by increasing the possible states of the object. In such cases, set of fuzzy logic can come to the rescue. The article examines its features.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using of Fuzzy Logic in Regulation Tasks\",\"authors\":\"L. P. Kozlova, O. Kozlova\",\"doi\":\"10.1109/scm55405.2022.9794876\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern systems assume a high degree of automation of technological processes. This is accomplished by dividing into smaller specifications. One such problem is the need to build a regulator. Classical regulation systems are well studied and actively used, but their effectiveness is greatly reduced by increasing the possible states of the object. In such cases, set of fuzzy logic can come to the rescue. The article examines its features.\",\"PeriodicalId\":162457,\"journal\":{\"name\":\"2022 XXV International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 XXV International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/scm55405.2022.9794876\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scm55405.2022.9794876","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modern systems assume a high degree of automation of technological processes. This is accomplished by dividing into smaller specifications. One such problem is the need to build a regulator. Classical regulation systems are well studied and actively used, but their effectiveness is greatly reduced by increasing the possible states of the object. In such cases, set of fuzzy logic can come to the rescue. The article examines its features.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
