77883

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Approximation-based approach to adaptive control of linear time-varying systems

ISBN/ISSN: 

0005-1179

DOI: 

10.31857/S0005117924050054

Наименование источника: 

  • Automation and Remote Control

Обозначение и номер тома: 

Vol.85, Iss..5

Город: 

  • Москва

Издательство: 

  • ИПУ РАН

Год издания: 

2024

Страницы: 

512-531
Аннотация
An adaptive state-feedback control system is proposed for a class of linear time-varying systems represented in the controller canonical form. The adaptation problem is reduced to the one of Taylor series-based first approximations of the ideal controller parameters. The exponential convergence of identification and tracking errors of such an approximation to an arbitrarily small and adjustable neighbourhood of the equilibrium point is ensured if the condition of the regressor persistent excitation with a sufficiently small time period is satisfied. The obtained theoretical results are validated via numerical experiments.

Библиографическая ссылка: 

Глущенко А.И., Ласточкин К.А. Approximation-based approach to adaptive control of linear time-varying systems // Automation and Remote Control. 2024. Vol.85, Iss.5. С. 512-531.