{"title":"人工智能在反馈控制中的研究进展","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":"{\"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}","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}
A review of artificial intelligence in feedback control
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.<>