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Исследование возможностей программных компонент бортовой вычислительной системы при преобразовании нелинейных систем к эквивалентным линейным

Исследование возможностей программных компонент бортовой вычислительной системы при преобразовании нелинейных систем к эквивалентным линейным

Abstract

Исследуются возможности расширения области применения геометрической теории управления (ГТУ). Показано, что применение ГТУ только для части уравнений, описывающих объект, может существенно уменьшить обём вычислений при поиске эквивалентных линейных моделей в форме Бруновского для нелинейных аффинных систем с векторным управлением в пространстве "вход-состояние". The possibilities of expanding the scope of the geometric control theory (GCT) are being investigated. The article shows that the use of GCT only for part of the control channels of the object or for part of the equations describing the object can significantly reduce the amount of computation when searching for equivalent linear models in the form of Brunovsky for nonlinear affine systems with vector control in the input-state space.

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Keywords

форма Бруновского, система уравнений, геометрическая теория управления, geometric control theory, form of Brunovsky, дифференциальные уравнения, equivalent linear models, эквивалентные линейные модели

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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