Fixed-Time Adaptive Fuzzy Control For Time-Varying Systems Based On Nominal | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Fixed-Time Adaptive Fuzzy Control For Time-Varying Systems Based On Nominal Bing Yi, Zhi Liu, Yun Zhang, C. L. Philip Chen, ZongZe Wu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1881387/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 22 Mar, 2023 Read the published version in Nonlinear Dynamics → Version 1 posted 4 You are reading this latest preprint version Abstract The fixed-time control for systems with timevarying parameters is investigated in this article. Different from the previous pure robust control, the proposed method is less conservative. Applying this method could avoid the existence of unknown time-varying parameter derivatives in control design. Combining with adaptive fuzzy control and projection operator, a novel singularity-avoidance virtual controller is constructed via backsteping. The proposed controller guarantees that the tracking errors converge to a user-defined precision within a prescribed fixed-time. Two examples are used to show that this method can achieve fixed time control even if the time-varying parameters are unknown and non-asymptotically constant. time-varing adaptive fuzzy control nonlinear systems fixed-time Full Text Cite Share Download PDF Status: Published Journal Publication published 22 Mar, 2023 Read the published version in Nonlinear Dynamics → Version 1 posted Reviewers agreed at journal 17 Aug, 2022 Reviewers invited by journal 17 Aug, 2022 Editor assigned by journal 28 Jul, 2022 First submitted to journal 21 Jul, 2022 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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