70235

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Chemical Reactor Estimation Based on Sensors Network with Dropouts

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-6654-6586-1

DOI: 

10.1109/STAB54858.2022.9807534

Наименование конференции: 

  • 2022 16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference)

Наименование источника: 

  • Proceedings of the 16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference)

Город: 

  • Moscow,

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

https://ieeexplore.ieee.org/document/9807534
Аннотация
In this paper, the estimation problem for the chemical reactor is considered. The model of measurement contains random variables with Bernoulli distribution, which are associated with dropouts. The anisotropy level for extended vector of input sequence is bounded by given positive value a. The input-to-estimation error system is described in terms of time-varying system with multiplicative noises. The boundedness of anisotropic norm for input-to-estimation error system is reduced to convex optimisation problem.

Библиографическая ссылка: 

Юрченков А.В. Chemical Reactor Estimation Based on Sensors Network with Dropouts / Proceedings of the 16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference). Moscow,: IEEE, 2022. С. https://ieeexplore.ieee.org/document/9807534.

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