{"title":"G-期望效用下最优控制问题的随机极大值原理","authors":"Meriyam Dassa, A. Chala","doi":"10.1515/rose-2022-2076","DOIUrl":null,"url":null,"abstract":"Abstract In this paper, we are concerned with an optimal control problem where the system is driven by a G-stochastic differential equation, where an admissible set of controls is convex. We establish necessary as well as sufficient optimality conditions for this model. At the end of this work, we illustrate our main result by giving an example that deals with the linear-quadratic problem.","PeriodicalId":43421,"journal":{"name":"Random Operators and Stochastic Equations","volume":"30 1","pages":"121 - 135"},"PeriodicalIF":0.3000,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stochastic maximum principle for optimal control problem under G-expectation utility\",\"authors\":\"Meriyam Dassa, A. Chala\",\"doi\":\"10.1515/rose-2022-2076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In this paper, we are concerned with an optimal control problem where the system is driven by a G-stochastic differential equation, where an admissible set of controls is convex. We establish necessary as well as sufficient optimality conditions for this model. At the end of this work, we illustrate our main result by giving an example that deals with the linear-quadratic problem.\",\"PeriodicalId\":43421,\"journal\":{\"name\":\"Random Operators and Stochastic Equations\",\"volume\":\"30 1\",\"pages\":\"121 - 135\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2022-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Random Operators and Stochastic Equations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/rose-2022-2076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Random Operators and Stochastic Equations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/rose-2022-2076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Stochastic maximum principle for optimal control problem under G-expectation utility
Abstract In this paper, we are concerned with an optimal control problem where the system is driven by a G-stochastic differential equation, where an admissible set of controls is convex. We establish necessary as well as sufficient optimality conditions for this model. At the end of this work, we illustrate our main result by giving an example that deals with the linear-quadratic problem.