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Program Systems: Theory and Applications, 2024, Volume 15, Issue 4, Pages 43–54
DOI: https://doi.org/10.25209/2079-3316-2024-15-4-43-54
(Mi ps455)
 

Optimization Methods and Control Theory

A heuristic algorithm for one nonlinear optimal control problem

I. V. Rasinaa, I. S. Gusevab

a Ailamazyan Program Systems Institute of RAS, Ves’kovo, Russia
b Buryat State University, Ulan-Ude, Russia
References:
Abstract: The optimal control problem for one of the variants of a quasilinear system is considered. To solve it, the idea of Professor V.I. Gurman is used, who proposed to combine two variants of the expansion principle. One of them is the traditional Krotov approach, and the second is the penalty function method. The selected class of systems allows for an analytical study of the Krotov Lagrangian, which in turn leads to the formulation of the algorithm. The resulting algorithm is tested on two illustrative examples, for which minimizing sequences are constructed. The complexity of the calculations is comparable with methods based on the traditional expansion principle. The calculation results are illustrated by tables and graphs.
Key words and phrases: sufficient Krotov optimality conditions, the expansion principle, quasi-linear systems.
Received: 11.09.2024
Accepted: 02.11.2024
Document Type: Article
UDC: 517.977.5
BBC: 22.182: 22.185.42
MSC: Primary 49M25; Secondary 49K21, 49N99
Language: Russian
Citation: I. V. Rasina, I. S. Guseva, “A heuristic algorithm for one nonlinear optimal control problem”, Program Systems: Theory and Applications, 15:4 (2024), 43–54
Citation in format AMSBIB
\Bibitem{RasGus24}
\by I.~V.~Rasina, I.~S.~Guseva
\paper A heuristic algorithm for one nonlinear optimal control problem
\jour Program Systems: Theory and Applications
\yr 2024
\vol 15
\issue 4
\pages 43--54
\mathnet{http://mi.mathnet.ru/ps455}
\crossref{https://doi.org/10.25209/2079-3316-2024-15-4-43-54}
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