69477

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Exponentially Convergent Direct Adaptive Pole Placement Control of Plants With Unmatched Uncertainty Under FE Condition

Электронная публикация: 

Да

ISBN/ISSN: 

24751456

DOI: 

10.1109/LCSYS.2022.3167547

Наименование источника: 

  • IEEE Control Systems Letters

Обозначение и номер тома: 

Vol. 6

Город: 

  • Padova, Italy

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

2527-2532
Аннотация
A new method of direct adaptive pole placement control (APPC) is developed for plants with unmatched uncertainty, which linearly depends on a state vector. It guarantees the exponential stability of a control system and exponential convergence of control law adjustable parameters to their true values when the regressor is finitely exciting. Considering the known classical APPC schemes and adaptive methods with exponential regulation, the advantages of the proposed one are that it does not require a priori information on a control input matrix and ensures the monotonic transient behavior of each adjustable parameter of the control law. The theoretical results are supported by the numerical experiments.

Библиографическая ссылка: 

Глущенко А.И., Ласточкин К.А. Exponentially Convergent Direct Adaptive Pole Placement Control of Plants With Unmatched Uncertainty Under FE Condition // IEEE Control Systems Letters. 2022. Vol. 6. С. 2527-2532.