53230

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Non-Iterative Solution to Robust Anisotropy-Based Analysis and Control Problems for Uncertain Descriptor Systems

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-7281-0699-1

DOI: 

10.1109/ICSTCC.2019.8885575

Наименование конференции: 

  • 23rd International Conference on System Theory, Control and Computing (ICSTCC 2019)

Наименование источника: 

  • Proceedings of 23rd International Conference on System Theory, Control and Computing (ICSTCC 2019)

Город: 

  • New York

Издательство: 

  • IEEE

Год издания: 

2019

Страницы: 

455-460 https://ieeexplore.ieee.org/document/8885575
Аннотация
The paper deals with linear discrete-time time-invariant (LDTI) descriptor systems with norm-bounded parametric uncertainties. The input signal is supposed to be a ``colored'' noise with bounded mean anisotropy. The problems of analysis and state-feedback control design are solved in terms of matrix inequalities. The obtained conditions are convex over all decision variables and do not require inverse matrix searching. Comparison between iterative and non-iterative methods is given.

Библиографическая ссылка: 

Андрианова О.Г., Белов А.А. Non-Iterative Solution to Robust Anisotropy-Based Analysis and Control Problems for Uncertain Descriptor Systems / Proceedings of 23rd International Conference on System Theory, Control and Computing (ICSTCC 2019). New York: IEEE, 2019. С. 455-460 https://ieeexplore.ieee.org/document/8885575 .