{"title":"计数观测下有限状态马尔可夫过程的最优控制","authors":"D. Shin, Erik I. Verriest","doi":"10.1109/CDC.1991.261351","DOIUrl":null,"url":null,"abstract":"The authors deal with the class of noisy observations of a controlled finite-state Markov process which modulates the rate of point processes. The control problems for a finite-state Markov process under partial observations are reformulated as ones for piecewise deterministic processes. In a weak sense, the value function is shown to be a viscosity solution of the corresponding Hamilton-Jacobi-Bellman equations.<<ETX>>","PeriodicalId":344553,"journal":{"name":"[1991] Proceedings of the 30th IEEE Conference on Decision and Control","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal control of finite state Markov processes under counting observations\",\"authors\":\"D. Shin, Erik I. Verriest\",\"doi\":\"10.1109/CDC.1991.261351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors deal with the class of noisy observations of a controlled finite-state Markov process which modulates the rate of point processes. The control problems for a finite-state Markov process under partial observations are reformulated as ones for piecewise deterministic processes. In a weak sense, the value function is shown to be a viscosity solution of the corresponding Hamilton-Jacobi-Bellman equations.<<ETX>>\",\"PeriodicalId\":344553,\"journal\":{\"name\":\"[1991] Proceedings of the 30th IEEE Conference on Decision and Control\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Proceedings of the 30th IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1991.261351\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the 30th IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1991.261351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal control of finite state Markov processes under counting observations
The authors deal with the class of noisy observations of a controlled finite-state Markov process which modulates the rate of point processes. The control problems for a finite-state Markov process under partial observations are reformulated as ones for piecewise deterministic processes. In a weak sense, the value function is shown to be a viscosity solution of the corresponding Hamilton-Jacobi-Bellman equations.<>