Zheng Wu
Asynchronous learning-based output feedback sliding mode control for semi-Markov jump systems: a descriptor approach
Wu, Zheng; Zhao, Yiyun; Li, Fanbiao; Yang, Tao; Shi, Yang; Gui, Weihua
Authors
Yiyun Zhao
Fanbiao Li
Professor TAO YANG TAO.YANG@NOTTINGHAM.AC.UK
PROFESSOR OF AEROSPACE ELECTRICALSYSTEMS
Yang Shi
Weihua Gui
Abstract
This paper presents an asynchronous output-feedback control strategy of semi-Markovian systems via sliding mode-based learning technique. Compared with most literature results that require exact prior knowledge of system state and mode information, an asynchronous output-feedback sliding surface is adopted in the case of incompletely available state and non-synchronization phenomenon. The holonomic dynamics of the sliding mode are characterized by a descriptor system in which the switching surface is regarded as the fast subsystem and the system dynamics are viewed as the slow subsystem. Based upon the co-occurrence of two subsystems, the sufficient stochastic admissibility criterion of the holonomic dynamics is derived by utilizing the characteristics of cumulative distribution functions. Furthermore, a recursive learning controller is formulated to guarantee the reachability of the sliding manifold and realize the chattering reduction of the asynchronous switching and sliding motion. Finally, the proposed theoretical method is substantiated through two numerical simulations with the practical continuous stirred tank reactor and F-404 aircraft engine model, respectively.
Citation
Wu, Z., Zhao, Y., Li, F., Yang, T., Shi, Y., & Gui, W. (2024). Asynchronous learning-based output feedback sliding mode control for semi-Markov jump systems: a descriptor approach. IEEE/CAA Journal of Automatica Sinica, 11(6), 1358–1369. https://doi.org/10.1109/jas.2024.124416
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 13, 2024 |
Online Publication Date | May 27, 2024 |
Publication Date | 2024-06 |
Deposit Date | Apr 26, 2024 |
Publicly Available Date | May 27, 2024 |
Journal | IEEE/CAA Journal of Automatica Sinica |
Print ISSN | 2329-9266 |
Electronic ISSN | 2329-9274 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 6 |
Pages | 1358–1369 |
DOI | https://doi.org/10.1109/jas.2024.124416 |
Keywords | Sliding mode control; semi-Markovian jump systems; output feedback; learning-based control; asynchronous switching |
Public URL | https://nottingham-repository.worktribe.com/output/34109999 |
Additional Information | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Files
JAS-2024-0095.Final
(1.1 Mb)
PDF
You might also like
Dead-time compensation and single-loop control strategy for ground power unit
(2024)
Journal Article
Parasitic Inductance Impact of a High-Turn-Ratio Half Bridge Active Clamped Converter for More-Electric Aircraft Applications
(2024)
Presentation / Conference Contribution
Power Flow Analysis of Advanced Power Generation Centre for More Electric Aircraft
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search