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

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          Abstract

          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.

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          Non-singular terminal sliding mode control of rigid manipulators

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            Disturbance Observer Based Control for Nonlinear Systems

            W-H Chen (2004)
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              Fractional Order Mathematical Modeling of COVID-19 Transmission

              In this article, the mathematical model with different compartments for the transmission dynamics of coronavirus-19 disease (COVID-19) is presented under the fractional-order derivative. Some results regarding the existence of at least one solution through fixed point results are derived. Then for the concerned approximate solution, the modified Euler method for fractional-order differential equations (FODEs) is utilized. Initially, we simulate the results by using some available data for different fractional-order to show the appropriateness of the proposed method. Further, we compare our results with some reported real data against confirmed infected and death cases per day for the initial 67 days in Wuhan city.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: ResourcesRole: Writing – review & editing
                Role: Project administration
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2024
                21 August 2024
                : 19
                : 8
                : e0304448
                Affiliations
                [1 ] College of Computer and Information Sciences Prince Sultan University Riyadh, Riyadh, Saudi Arabia
                [2 ] Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia
                [3 ] Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt
                [4 ] School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China
                Lanzhou University of Technology, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-2302-705X
                Article
                PONE-D-24-06709
                10.1371/journal.pone.0304448
                11338469
                39167611
                a6dd556e-caae-43d6-84ef-8c0efbff719e
                © 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.

                History
                : 19 February 2024
                : 13 May 2024
                Page count
                Figures: 18, Tables: 0, Pages: 23
                Funding
                The author(s) received no specific funding for this work.
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