Sciact
  • EN
  • RU

Minimax estimation of the predictive set of the dynamical economic and mathematical model of the production system Научная публикация

Конференция The 14th International Conference: «Application of Mathematics in Technical and Natural Sciences (AMiTaNS'22)»
22-27 июн. 2022 , Albena, Bulgaria
Журнал AIP Conference Proceedings
ISSN: 0094-243X
Вых. Данные Год: 2023, Том: 2953, Номер статьи : 040012, Страниц : 9 DOI: 10.1063/5.0177544
Авторы Shorikov A.F. 1
Организации
1 Institute of Economicsof the Ural Branch of the RAS

Информация о финансировании (1)

1 Российский научный фонд 22-28-01868

Реферат: The article is devoted to the application of discrete-time controlled dynamical economic and mathematical models of production systems for solving the problem of constructing and minimax estimation of its final predictive set (the final reachability set of the system). On a given integer time interval, an economic and mathematical model of a controlled production system (controlled dynamical system) is considered, which is described by a system of linear discrete-time recurrent equations. In each period of time, the values of the control action are bounded by the corresponding nonempty convex compact polyhedron, and the values of the phase vector of the dynamical system are bounded by the corresponding finite joint system of linear algebraic equations and inequalities. In the article describes the formalization of the problem of minimax estimation of the final predictive set of phase vectors of the dynamical system under consideration, as well as the proposed algorithm for its solution. The results obtained in the article can be used to constructing intelligent computer systems for information support in solving actual technical, economic and medical problems.
Библиографическая ссылка: Shorikov A.F.
Minimax estimation of the predictive set of the dynamical economic and mathematical model of the production system
AIP Conference Proceedings. 2023. V.2953. 040012 :1-9. DOI: 10.1063/5.0177544 Scopus OpenAlex
Даты:
Поступила в редакцию: 5 июл. 2022 г.
Принята к публикации: 3 дек. 2022 г.
Опубликована в печати: 20 нояб. 2023 г.
Опубликована online: 20 нояб. 2023 г.
Идентификаторы БД:
Scopus: 2-s2.0-85179827230
OpenAlex: W4388823154
Цитирование в БД: Пока нет цитирований
Альметрики: