{"title":"基于模糊逻辑的车辆限速预测控制系统","authors":"","doi":"10.30534/ijatcse/2023/041232023","DOIUrl":null,"url":null,"abstract":"Tremendous effort is required for controllers in industries; the design of these controllers is a challenge for manufacturers and engineers. Proportional integral derivative (PID) controller is the most commonly used traditional controller. However, problems of stability and gained performance analysis of a discrete positive system is still an issue in the current speed limiting system. But the fuzzy logic controller can be preeminent substitute of the PID controller for its more appropriate tools in control systems as it can be replaced as the human experience. The results show that, the proposed Fuzzy Logic can address problems of stability and gained performance analysis of a discrete positive system","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FUZSLS: A Predictive Control System for Vehicular Speed Limit Application Using Fuzzy Logic\",\"authors\":\"\",\"doi\":\"10.30534/ijatcse/2023/041232023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tremendous effort is required for controllers in industries; the design of these controllers is a challenge for manufacturers and engineers. Proportional integral derivative (PID) controller is the most commonly used traditional controller. However, problems of stability and gained performance analysis of a discrete positive system is still an issue in the current speed limiting system. But the fuzzy logic controller can be preeminent substitute of the PID controller for its more appropriate tools in control systems as it can be replaced as the human experience. The results show that, the proposed Fuzzy Logic can address problems of stability and gained performance analysis of a discrete positive system\",\"PeriodicalId\":129636,\"journal\":{\"name\":\"International Journal of Advanced Trends in Computer Science and Engineering\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Trends in Computer Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30534/ijatcse/2023/041232023\",\"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 Journal of Advanced Trends in Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30534/ijatcse/2023/041232023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FUZSLS: A Predictive Control System for Vehicular Speed Limit Application Using Fuzzy Logic
Tremendous effort is required for controllers in industries; the design of these controllers is a challenge for manufacturers and engineers. Proportional integral derivative (PID) controller is the most commonly used traditional controller. However, problems of stability and gained performance analysis of a discrete positive system is still an issue in the current speed limiting system. But the fuzzy logic controller can be preeminent substitute of the PID controller for its more appropriate tools in control systems as it can be replaced as the human experience. The results show that, the proposed Fuzzy Logic can address problems of stability and gained performance analysis of a discrete positive system