{"title":"Optimization of distributed parameters objects of technological thermal physics based on numerical models","authors":"Yulia I. Pleshivtseva","doi":"10.1109/EICONRUS.2018.8317448","DOIUrl":null,"url":null,"abstract":"The general statement of optimal control problem for distributed parameters object of technological thermal physics is considered. Suggested algorithm of accurate problem solution includes the procedure of subsequent parameterization of control algorithms and reduction to semi-infinite optimization problem. To find unknown parameters of control algorithm the special optimization procedure is developed that is based on the alternance method application using the numerical models of technological processes. A short overview is done for the practical applications of the described technique to the optimization problems in thermal physics.","PeriodicalId":6562,"journal":{"name":"2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"23 1","pages":"1768-1772"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUS.2018.8317448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The general statement of optimal control problem for distributed parameters object of technological thermal physics is considered. Suggested algorithm of accurate problem solution includes the procedure of subsequent parameterization of control algorithms and reduction to semi-infinite optimization problem. To find unknown parameters of control algorithm the special optimization procedure is developed that is based on the alternance method application using the numerical models of technological processes. A short overview is done for the practical applications of the described technique to the optimization problems in thermal physics.
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