{"title":"A review of techniques for machine learning of real-time control strategies","authors":"R. Vepa","doi":"10.1049/ISE.1993.0009","DOIUrl":null,"url":null,"abstract":"In this paper, techniques for machine learning of real-time control strategies are presented and reviewed from a control engineer's point of view. The objective is to present a consolidated view, both in the context of classical control theory and modern artificial intelligence practice. The review seeks to present the principal contributions to the field and the impact of these contributions on control engineering, particularly from the machine learning point of view. >","PeriodicalId":55165,"journal":{"name":"Engineering Intelligent Systems for Electrical Engineering and Communications","volume":"15 1","pages":"77-90"},"PeriodicalIF":0.0000,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Intelligent Systems for Electrical Engineering and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/ISE.1993.0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In this paper, techniques for machine learning of real-time control strategies are presented and reviewed from a control engineer's point of view. The objective is to present a consolidated view, both in the context of classical control theory and modern artificial intelligence practice. The review seeks to present the principal contributions to the field and the impact of these contributions on control engineering, particularly from the machine learning point of view. >
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