60129

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Reduced-Order Observer for Estimating Mixed Variables in Tracking Systems under Unmatched Exogenous Disturbances

ISBN/ISSN: 

ISSN 0012-2661

DOI: 

10.1134/S0012266120120137

Наименование источника: 

  • Differential Equations

Обозначение и номер тома: 

Vol. 56, № 12

Город: 

  • Moscow

Издательство: 

  • Pleiades Publishing, Ltd.

Год издания: 

2020

Страницы: 

1635-1648 (DOI 10.1134/S0012266120120137)
Аннотация
We consider the problem of designing a tracking system for nonlinear affine SISO plants under unmatched exogenous and parametric disturbances and incomplete measurements. In the framework of the block approach, we develop a discontinuous dynamic feedback control law ensuring a tracking with a given accuracy for the output variable of the command signal under the assumption of exogenous actions being smooth. The main result of the paper is a single-parametric procedure for designing a reduced-order observer with high-gain feedbacks for measurement-based estimation of the error of tracking the mixed variables used to form the feedback.

Библиографическая ссылка: 

Краснов Д.В., Уткин А.В. Reduced-Order Observer for Estimating Mixed Variables in Tracking Systems under Unmatched Exogenous Disturbances // Differential Equations. 2020. Vol. 56, № 12. С. 1635-1648 (DOI 10.1134/S0012266120120137).