Non-parametric dual control algorithms of discrete-continuous processes with dependent input variables

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017; Красноярск, Россия; Красноярск, Россия

Год издания: 2017

Ключевые слова: Dual control, Inertialess process, Non-parametric statistics, Static system

Аннотация: In the report we propose a non-parametric dual control algorithm for mul- tidimensional processes with stochastic dependence between input variables. The algorithm does not depend on the equation of the described object, it is based on nonparametric estimates of the Nadaraya-Watson class. The object of investigation has a tubular structure, i.e. the input variables are related by stochastic dependence. Series of computational experiments are carried out for both the multidimensional inertialess process with delay and for the tubular process, the results of which shows the effectiveness of the proposed methods. © Novosibirsk State Technical University, 2017.

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Издание

Журнал: Applied Methods of Statistical Analysis. Nonparametric Methods in Cybernetics and System Analysis (AMSA'2017)

Номера страниц: 82-87

ISSN журнала: 2313870X

Издатель: Novosibirsk State Technical University

Персоны

Chzhan E.A. (Siberian Federal University, Krasnoyarsk, Russian Federation)

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