{"title":"Impulse control for semi markovain processes","authors":"M. Robin","doi":"10.1109/CDC.1975.270740","DOIUrl":null,"url":null,"abstract":"We consider optimal control problems in which the state evolves as a semi-markovian process and the control acts only at some random times with instantaneous costs at these times. Dynamic programming optimality conditions take the form of differential inequalities which can be solved numerically.","PeriodicalId":164707,"journal":{"name":"1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes","volume":"163 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1975-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1975.270740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We consider optimal control problems in which the state evolves as a semi-markovian process and the control acts only at some random times with instantaneous costs at these times. Dynamic programming optimality conditions take the form of differential inequalities which can be solved numerically.
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