70743

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

On the Relation between Anisotropy-based Theory and Covariance Control Theory

ISBN/ISSN: 

978-1-6654-6655-4

DOI: 

10.1109/RusAutoCon54946.2022.9896385

Наименование конференции: 

  • 2022 International Russian Automation Conference (RusAutoCon)

Наименование источника: 

  • Proceedings 2022 International Russian Automation Conference (RusAutoCon)

Город: 

  • Sochi, Russian Federation

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

343-348
Аннотация
About 3 decades ago, two control theories have been introduced to deal with disturbances in linear systems from the covariance and the root-mean-square objective perspectives. One of them (the covariance control theory) has successfully carried out the far-going research on parameterizing the controllers when there is the precise information about input disturbance. The second one (the anisotropy-based theory) deals with statistically uncertain input disturbance but gives only solution in form of inequalities, that is, in non-closed-form. These two theories have a lot in common and may be cross-integrating. This is the main purpose of this paper – to study in introductory way the relation between these theories from the position of information-theoretic concept of anisotropy.

Библиографическая ссылка: 

Кустов А.Ю., Юрченков А.В. On the Relation between Anisotropy-based Theory and Covariance Control Theory / Proceedings 2022 International Russian Automation Conference (RusAutoCon). Sochi, Russian Federation: IEEE, 2022. С. 343-348.