68682

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Sparse Filtering under Bounded Exogenous Disturbances

ISBN/ISSN: 

0005-1179

DOI: 

10.1134/S0005117922020035

Наименование источника: 

  • Automation and Remote Control

Обозначение и номер тома: 

Vol. 83, No. 2

Город: 

  • New York

Издательство: 

  • Pleiades Publishing, Ltd

Год издания: 

2022

Страницы: 

191-203
Аннотация
A simple, universal approach to solving the sparse filtering problem - problem using a reduced number of outputs - with arbitrary bounded exogenous disturbances by employing an observer is presented. The approach is based on the invariant ellipsoid method and the technique of linear matrix inequalities. An application of this concept has made it possible to reduce the original problem to a semidefinite programming problem that is easy to solve numerically. The approach is distinguished by its simplicity and ease of implementation and covers both continuous- and discrete-time statements of the problem. The efficiency of the procedure proposed is demonstrated by a test example.

Библиографическая ссылка: 

Хлебников М.В. Sparse Filtering under Bounded Exogenous Disturbances // Automation and Remote Control. 2022. Vol. 83, No. 2. С. 191-203.