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JOURNALS // Program Systems: Theory and Applications // Archive

Program Systems: Theory and Applications, 2023 Volume 14, Issue 4, Pages 47–66 (Mi ps430)

Optimization Methods and Control Theory

Minimax improvement method for inhomogeneous discrete systems

I. V. Rasinaab, A. O. Blinovc

a Federal Research Center "Computer Science and Control" of RAS, Moscow, Russia
b Ailamazyan Program Systems Institute of RAS, Ves’kovo, Russia
c Russian State Social University, Moscow, Russia

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).

Key words and phrases: heterogeneous discrete systems, intermediate criteria, sufficient optimality conditions, control improvement method.

UDC: 517.977: 004.421.2
BBK: 22.182: 22.185.42

MSC: Primary 49M99; Secondary 49N10

Received: 31.07.2023
Accepted: 12.10.2023

DOI: 10.25209/2079-3316-2023-14-4-47-66



© Steklov Math. Inst. of RAS, 2024