Volume 28, 2022
|Number of page(s)||30|
|Published online||21 January 2022|
Boundary stabilization and disturbance rejection for an unstable time fractional diffusion-wave equation
School of Mathematics and Statistics, HNP-LAMA, Central South University,
2 School of Mathematics and Big Data, Foshan University, Foshan 528000, China.
3 School of Mathematics and Physics, North China Electric Power University, Beijing 102206, China.
4 Mechatronics, Embedded Systems and Automation Lab, University of California, Merced 95343, CA, USA.
* Corresponding author: firstname.lastname@example.org
Accepted: 4 January 2022
In this paper, we study boundary stabilization and disturbance rejection problem for an unstable time fractional diffusion-wave equation with Caputo time fractional derivative. For the case of no boundary external disturbance, both state feedback control and output feedback control via Neumann boundary actuation are proposed by the classical backstepping method. It is proved that the state feedback makes the closed-loop system Mittag-Leffler stable and the output feedback makes the closed-loop system asymptotically stable. When there is boundary external disturbance, we propose a disturbance estimator constructed by two infinite dimensional auxiliary systems to recover the external disturbance. A novel control law is then designed to compensate for the external disturbance in real time, and rigorous mathematical proofs are presented to show that the resulting closed-loop system is Mittag-Leffler stable and the states of all subsystems involved are uniformly bounded. As a result, we completely resolve, from a theoretical perspective, two long-standing unsolved mathematical control problems raised in Liang [Nonlinear Dyn. 38 (2004) 339–354] where all results were verified by simulations only.
Mathematics Subject Classification: 35L05 / 93B52 / 37L15 / 93D15 / 93B51
Key words: Diffusion-wave equation / disturbance rejection / feedback stabilization / boundary control / backstepping method
© The authors. Published by EDP Sciences, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.