Adaptive fixed-time TSM for uncertain nonlinear dynamical system under unknown disturbance.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 19 02 2024
accepted: 13 05 2024
medline: 21 8 2024
pubmed: 21 8 2024
entrez: 21 8 2024
Statut: epublish

Résumé

For nonlinear systems subjected to external disturbances, an adaptive terminal sliding mode control (TSM) approach with fixed-time convergence is presented in this paper. The introduction of the fixed-time TSM with the sliding surface and the new Lemma of fixed-time stability are the main topics of discussion. The suggested approach demonstrates quick convergence, smooth and non-singular control input, and stability within a fixed time. Existing fixed-time TSM schemes are often impacted by unknown dynamics such as uncertainty and disturbances. Therefore, the proposed strategy is developed by combining the fixed-time TSM with an adaptive scheme. This adaptive method deals with an uncertain dynamic system when there are external disturbances. The stability of a closed-loop structure in a fixed-time will be shown by the findings of the Lyapunov analysis. Finally, the outcomes of the simulations are shown to evaluate and demonstrate the efficacy of the suggested method. As a result, examples with different cases are provided for a better comparison of suggested and existing control strategies.

Identifiants

pubmed: 39167611
doi: 10.1371/journal.pone.0304448
pii: PONE-D-24-06709
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0304448

Informations de copyright

Copyright: © 2024 Ahmed et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

PLoS One. 2023 Oct 19;18(10):e0283905
pubmed: 37856506
Sci Rep. 2022 Nov 12;12(1):19364
pubmed: 36371531
PLoS One. 2023 Apr 24;18(4):e0283195
pubmed: 37093830
Neural Netw. 2020 Mar;123:412-419
pubmed: 31945620
Chaos Solitons Fractals. 2020 Oct;139:110256
pubmed: 32905156
PLoS One. 2023 Sep 11;18(9):e0291042
pubmed: 37695775
PLoS One. 2023 Nov 3;18(11):e0293613
pubmed: 37922271
Adv Differ Equ. 2020;2020(1):1
pubmed: 32226454

Auteurs

Saim Ahmed (S)

College of Computer and Information Sciences Prince Sultan University Riyadh, Riyadh, Saudi Arabia.
Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia.

Ahmad Taher Azar (AT)

College of Computer and Information Sciences Prince Sultan University Riyadh, Riyadh, Saudi Arabia.
Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia.
Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt.

Haoping Wang (H)

School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.

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Classifications MeSH