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Article . 2008
Data sources: CyberLeninka - Russian open access scientific library
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Методика теоретико-игровой оптимизации алгоритма контроля сложной системы на основе модели смешанного расширения матричной игры с ограничениями

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2008 Russian Publisher:Федеральное государственное автономное образовательное учреждение высшего профессионального образования «Южный федеральный университет»Journal:Известия Южного федерального университета. Технические науки (issn: 1999-9429, Copyright policy )

Методика теоретико-игровой оптимизации алгоритма контроля сложной системы на основе модели смешанного расширения матричной игры с ограничениями

Abstract

The offered technique of a gametheoretic optimization of a control algorithm based on a model of a mixed extention of a matrics constrained game allows to take into account a priori data, concerning the constraints both on a control process and control means.

Предложенная методика теоретико-игровой оптимизации алгоритма контроля на основе модели смешанного расширения матричной игры с ограничениями позволяет учесть априорные данные об ограничениях, как на процесс контроля, так и на средства контроля.

Keywords

ТЕОРЕТИКО-ИГРОВАЯ ОПТИМИЗАЦИЯ, АЛГОРИТМЫ КОНТРОЛЯ, МАТРИЧНЫЕ ИГРЫ С ОГРАНИЧЕНИЯМИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average