{"title":"企业数字孪生的最优控制。","authors":"S. Masaev","doi":"10.34219/2078-8320-2021-12-5-17-20","DOIUrl":null,"url":null,"abstract":"The enterprise is presented as a digital twin of interrelated production processes, support processes and administrative processes. A semantic indicator for a general assessment of the state of the system at different points in time is given. The semantic indicator is applied to assess the optimal control by Kalman filter. The obtained estimates of optimal control make it possible to take into account the resources consumed by the processes in the past periods. The obtained optimal control can be used with other control methods through control and observation matrices. Estimates of the optimal ratio of values are obtained: the amount of the resource in the system, the method of attracting the resource, the execution time of the method, the computational complexity of the method.","PeriodicalId":299496,"journal":{"name":"Informatization and communication","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal control of the digital twin of the enterprise.\",\"authors\":\"S. Masaev\",\"doi\":\"10.34219/2078-8320-2021-12-5-17-20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The enterprise is presented as a digital twin of interrelated production processes, support processes and administrative processes. A semantic indicator for a general assessment of the state of the system at different points in time is given. The semantic indicator is applied to assess the optimal control by Kalman filter. The obtained estimates of optimal control make it possible to take into account the resources consumed by the processes in the past periods. The obtained optimal control can be used with other control methods through control and observation matrices. Estimates of the optimal ratio of values are obtained: the amount of the resource in the system, the method of attracting the resource, the execution time of the method, the computational complexity of the method.\",\"PeriodicalId\":299496,\"journal\":{\"name\":\"Informatization and communication\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Informatization and communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34219/2078-8320-2021-12-5-17-20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatization and communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34219/2078-8320-2021-12-5-17-20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal control of the digital twin of the enterprise.
The enterprise is presented as a digital twin of interrelated production processes, support processes and administrative processes. A semantic indicator for a general assessment of the state of the system at different points in time is given. The semantic indicator is applied to assess the optimal control by Kalman filter. The obtained estimates of optimal control make it possible to take into account the resources consumed by the processes in the past periods. The obtained optimal control can be used with other control methods through control and observation matrices. Estimates of the optimal ratio of values are obtained: the amount of the resource in the system, the method of attracting the resource, the execution time of the method, the computational complexity of the method.