81569

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Time space deformation approach to prescribed-time stabilization: Synergy of time-varying and non-Lipschitz feedback designs

ISBN/ISSN: 

0005-1098

DOI: 

10.1016/j.automatica.2022.110485

Наименование источника: 

  • Automatica

Обозначение и номер тома: 

Vol.144

Город: 

  • Голландия

Издательство: 

  • Elsevier

Год издания: 

2022

Страницы: 

110485 (1-14)
Аннотация
A novel approach is proposed to the prescribed-time stabilizing design of feedback linearizable controllable systems regardless of their initial conditions. The basic design idea consists in scaling an appropriate finite-time stabilizing non-Lipschitz feedback by means of a certain time deformation which squeezes the infinite time interval to the prescribed one , while also changing the state variables. The resulting nonsmooth feedback design relies on time-varying gains, uniformly bounded over the infinite horizon, thereby yielding an attractive implementation opportunity which is opposed to the original design (Song et al., 2017) with time-varying gains, escaping to infinity as time goes to the prescribed time instant. To facilitate the exposition the approach is first developed for a perturbed double integrator, driven by a twisting-wise controller, which is fed by a supertwisting-wise observer. Both the controller and observer, chosen for their robustness properties, are properly scaled according to the time space deformation to constitute an innovative prescribed-time stabilizing output feedback design of the double integrator, operating in the presence of uniformly bounded matched disturbances. To test the versatility of the approach it is then extended to the prescribed-time state feedback design of multi-input multi-output systems representable in the normal form. Theoretical results are additionally supported by simulations.

Библиографическая ссылка: 

Орлов Ю.В. Time space deformation approach to prescribed-time stabilization: Synergy of time-varying and non-Lipschitz feedback designs // Automatica. 2022. Vol.144. С. 110485 (1-14).