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• Содержание выпуска •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •
• Methods for Optimal Control and Control Theory •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Supercomputing Software and Hardware •
Methods for Optimal Control and Control Theory
Responsible for the Section: doctor of technical Sciences Vladimir Gurman,
doctor of physico-mathematical Sciences Yury Sachkov.
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper,
and the reference to the full-text PDF
/r1/pdf.jpg) .
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Article #
34_2015
25 p.
/r1/pdf.jpg)
PDF |
submitted on 19th
Oct 2015 displayed on
website on 09th
Nov
2015
Vladimir Gurman, Irina Rasina, Irina Guseva, Oles
Fesko
Methods for approximate solution of optimal control problems
A general approach to approximate
solution of optimal control problems which includes global search of
initial approximation is considered. Effective iterational
procedures for its iprovement using the extension and localization
principles, sufficient conditions of optimality, and global
estimates are developed. Special attention to the new practical
methods of control improvement on the base of the Krotov’s minimax
principle is given. (In Russian).
Key words: extension and localization
principles, minimax principle, global method of control improvement,
new version of penalty method. |
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article citation |
http://psta.psiras.ru/read/psta2015_4_113-137.pdf |
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DOI |
https://doi.org/10.25209/2079-3316-2015-6-4-113-137 |
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •
• Methods for Optimal Control and Control Theory •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Supercomputing Software and Hardware •
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