Optimization Methods and Control Theory
Research Article
Minimax improvement method for inhomogeneous discrete systems
Irina Viktorovna Rasina1, Alexander Olegovich Blinov2
Abstract. A class of two-level discrete inhomogeneous systems (DNS) is considered for the case when all homogeneous subsystems of the lower level are not only connected by a common functionality, but also have their own goals. Similar systems are widely used in practice (economics, ecology), and also arise in the process of numerically solving optimization problems when discretizing continuous control systems.
A second-order control improvement method is proposed, for the derivation of which a generalization of sufficient optimality conditions by V. F. Krotov. Illustrative examples are given. (In Russian).
Keywords: heterogeneous discrete systems, intermediate criteria, sufficient optimality conditions, control improvement method
MSC-2020 49M99; 49N10Acknowledgments:
1 | The work was supported by the Russian Science Foundation (project no. 21-11-00202) |
For citation: Irina V. Rasina, Alexander O. Blinov. Minimax improvement method for inhomogeneous discrete systems. Program Systems: Theory and Applications, 2023, 14:4, pp. 47–66. (In Russ.). https://psta.psiras.ru/2023/4_47-66.
Full text of article (PDF): https://psta.psiras.ru/read/psta2023_4_47-66.pdf.
The article was submitted 31.07.2023; approved after reviewing 11.10.2023; accepted for publication 12.10.2023; published online 28.10.2023.