{"title":"实时系统模糊控制器输入变量解释算法的发展","authors":"A. Sagdatullin, G. Degtyarev","doi":"10.36807/1998-9849-2022-63-89-88-92","DOIUrl":null,"url":null,"abstract":"The purpose of the research work is to develop an algorithm for interpreting input variables by a discrete membership function of a fuzzy set for embedded and real-time systems. To achieve the goal set in the scientific work, the following tasks were solved: the study of fuzzy logical inference in automatic control systems: analysis of the fuzzy set building, representation of a discrete input values; development of an algorithm and software implementation for real-time systems. Methods for setting input variables for fuzzy logic systems were considered, an algorithmic implementation of the representation of the input value as an element of a fuzzy set and automatic calculation of the membership function was proposed.","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DEVELOPMENT OF AN ALGORITHM FOR INTERPRETATION OF INPUT VARIABLES OF FUZZY LOGIC CONTROLLER FOR REAL-TIME SYSTEMS\",\"authors\":\"A. Sagdatullin, G. Degtyarev\",\"doi\":\"10.36807/1998-9849-2022-63-89-88-92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of the research work is to develop an algorithm for interpreting input variables by a discrete membership function of a fuzzy set for embedded and real-time systems. To achieve the goal set in the scientific work, the following tasks were solved: the study of fuzzy logical inference in automatic control systems: analysis of the fuzzy set building, representation of a discrete input values; development of an algorithm and software implementation for real-time systems. Methods for setting input variables for fuzzy logic systems were considered, an algorithmic implementation of the representation of the input value as an element of a fuzzy set and automatic calculation of the membership function was proposed.\",\"PeriodicalId\":9467,\"journal\":{\"name\":\"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36807/1998-9849-2022-63-89-88-92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36807/1998-9849-2022-63-89-88-92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DEVELOPMENT OF AN ALGORITHM FOR INTERPRETATION OF INPUT VARIABLES OF FUZZY LOGIC CONTROLLER FOR REAL-TIME SYSTEMS
The purpose of the research work is to develop an algorithm for interpreting input variables by a discrete membership function of a fuzzy set for embedded and real-time systems. To achieve the goal set in the scientific work, the following tasks were solved: the study of fuzzy logical inference in automatic control systems: analysis of the fuzzy set building, representation of a discrete input values; development of an algorithm and software implementation for real-time systems. Methods for setting input variables for fuzzy logic systems were considered, an algorithmic implementation of the representation of the input value as an element of a fuzzy set and automatic calculation of the membership function was proposed.