77965

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Parameter Estimation-Based Extended Observer for Linear Systems with Polynomial Overparameterization

Электронная публикация: 

Да

ISBN/ISSN: 

979-835039544-0

DOI: 

10.1109/MED61351.2024.10566171

Наименование конференции: 

  • 32nd Mediterranean Conference on Control and Automation (MED'2024, Chania - Crete, Greece)

Наименование источника: 

  • Proceedings of the 32th Mediterranean Conference on Control and Automation (MED'2024, Chania - Crete, Greece)

Город: 

  • Chania - Crete, Greece

Издательство: 

  • IEEE

Год издания: 

2024

Страницы: 

143-148
Аннотация
We consider a class of uncertain linear time-invariant overparametrized systems affected by bounded disturbances, which are described by a known exosystem with unknown initial conditions. For such systems an exponentially stable extended adaptive observer is proposed, which, unlike existing solutions, simultaneously: (i) allows one to reconstruct original (physical) states of the system represented in arbitrarily chosen state-space form rather than virtual states of the observer canonical form; (ii) ensures convergence of the state observation error to zero under weak requirement of the regressor finite excitation; (iii) does not include Luenberger correction gain and forms states estimate using algebraic rather than differential equation; (iv) additionally reconstructs the unmeasured external disturbance. The proposed solution is based on the new parametrizations to identify the observer parameters obtained with the help of the heterogeneous mappings and the dynamic regressor extension and mixing procedure. Illustrative simulations support obtained theoretical results.

Библиографическая ссылка: 

Глущенко А.И., Ласточкин К.А. Parameter Estimation-Based Extended Observer for Linear Systems with Polynomial Overparameterization / Proceedings of the 32th Mediterranean Conference on Control and Automation (MED'2024, Chania - Crete, Greece). Chania - Crete, Greece: IEEE, 2024. С. 143-148.