{"title":"A review of artificial intelligence in feedback control","authors":"D.G. Karetnyk, E. Grant, D.R. McGregor","doi":"10.1109/ISIC.1988.65402","DOIUrl":null,"url":null,"abstract":"The use of knowledge-based techniques in feedback control is reviewed. Fuzzy linguistic control, qualitative causal control, and procedural control, as well as reinforcement learning and induction, are discussed. A brief comparison of these techniques in terms of some key characteristics is presented.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Symposium on Intelligent Control 1988","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1988.65402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The use of knowledge-based techniques in feedback control is reviewed. Fuzzy linguistic control, qualitative causal control, and procedural control, as well as reinforcement learning and induction, are discussed. A brief comparison of these techniques in terms of some key characteristics is presented.<>