74685

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Extended Adaptive Observer for Linear Systems with Overparameterization

Электронная публикация: 

Да

ISBN/ISSN: 

979-8-3503-1543-1

DOI: 

10.1109/MED59994.2023.10185687

Наименование конференции: 

  • 31st Mediterranean Conference on Control and Automation (MED 2023, Limassol, Cyprus)

Наименование источника: 

  • Proceedings of 31st Mediterranean Conference on Control and Automation (MED 2023)

Город: 

  • Limassol

Издательство: 

  • IEEE

Год издания: 

2023

Страницы: 

789-794 (1-6) https://ieeexplore.ieee.org/document/10185687
Аннотация
Exponentially stable extended adaptive observer is proposed for a class of linear time-invariant systems with unknown parameters and overparameterization. It allows one to reconstruct unmeasured states and bounded external disturbance produced by a known linear exosystem with unknown initial conditions if a weak requirement of regressor finite excitation is met. In contrast to the existing solutions, the proposed observer reconstructs the original (physical) states of the system rather than the virtual one of its observer canonical form. Simulation results to validate the developed theory are presented.

Библиографическая ссылка: 

Глущенко А.И., Ласточкин К.А. Extended Adaptive Observer for Linear Systems with Overparameterization / Proceedings of 31st Mediterranean Conference on Control and Automation (MED 2023). Limassol: IEEE, 2023. С. 789-794 (1-6) https://ieeexplore.ieee.org/document/10185687.