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Прогнозирующее управление системами с марковскими скачками и авторегрессионным мультипликативным шумом с марковским переключением режимов

Прогнозирующее управление системами с марковскими скачками и авторегрессионным мультипликативным шумом с марковским переключением режимов

Abstract

Рассматривается задача управления с прогнозированием по квадратичному критерию для класса дискретных стохастических систем с марковскими скачками и мультипликативным шумом, описываемым векторной авторегрессионной моделью с марковским переключением режимов, при ограничениях на управляющие воздействия. Алгоритм синтеза прогнозирующей стратегии сводится к решению последовательности задач квадратичного программирования.

Related Organizations
Keywords

ограничения, мультипликативные шумы, марковские скачки, стохастические системы, прогнозирующее управление

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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
Green