Finite-time based state estimation for discrete-time T-S fuzzy complex dynamical networks with multi-weights and packet dropouts

Finite-time based state estimation for discrete-time T-S fuzzy complex dynamical networks with multi-weights and packet dropouts | 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 Finite-time based state estimation for discrete-time T-S fuzzy complex dynamical networks with multi-weights and packet dropouts Sakthivel R, Gowtham T, Ranjith V, Murugan M, Siva Priya M S This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6553895/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In this paper, we examine the problem of state estimation for a class of Takagi-Sugeno (T-S) fuzzy complex dynamical networks (CDNs) with packet dropouts, time-varying coupling delays and multiple weights. The primary goal of the problem is to develop a finite-time dissipative filter using resilient approach that can handle potential gain perturbations and incomplete measurements, ensuring the fuzzy rule-dependent filter system of T-S fuzzy CDN achieves the desired strictly (L, H, V)−ρ dissipative performance attenuation level. In terms of the stochastic theory and fuzzy model technique, some criteria are forwarded to ensure the stochastic stability and strict dissipative performance for T-S fuzzy CDNs. Lastly, a numerical example illustrates the effectiveness of the proposed filter design method. Discrete-time systems T-S fuzzy complex dynamical networks Dissipativity Resilient filtering Finite-time analysis Packet dropouts Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6553895","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":464461747,"identity":"27ae00fb-14ce-41aa-9db4-7b79e3f690fe","order_by":0,"name":"Sakthivel R","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5klEQVRIiWNgGAWjYJACxgaGAzwMDMyNDxgMICIHCGtJAGlhbDZgMDAgXguIapNggFmDD5g3sD/8OPPHHRmD441t1TwFfxj42w8wHi7Ao0XmAI+x5IaEZzwGZw623eYBOkziTALD4Rl4tEgw8DBIPkg4zCM5I7Ht5gyQX24wMBzmwauF/fFPsJb5D9sKQVrkCWthMAM67DAPvwRjG8MHoBYDglqYecwsZ6QBtfAkNkt8MDDmMTyT2IBfC3v745s9Noft2dgPH/yQ8EdOTu744cOf8WlhYEbj84BTwygYBaNgFIwCygAA4+BJGh0QjCUAAAAASUVORK5CYII=","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":true,"prefix":"","firstName":"Sakthivel","middleName":"","lastName":"R","suffix":""},{"id":464461748,"identity":"1e364afa-7ee5-4a92-877b-c0843657bb56","order_by":1,"name":"Gowtham T","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Gowtham","middleName":"","lastName":"T","suffix":""},{"id":464461749,"identity":"b39f1621-a798-42d6-a944-5ff48264c02c","order_by":2,"name":"Ranjith V","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Ranjith","middleName":"","lastName":"V","suffix":""},{"id":464461750,"identity":"b260c4ab-4f2c-4f45-817e-c177940a4d31","order_by":3,"name":"Murugan M","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Murugan","middleName":"","lastName":"M","suffix":""},{"id":464461751,"identity":"8b1e02e6-905c-49ef-bd5c-05bb21412e49","order_by":4,"name":"Siva Priya M S","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Siva","middleName":"Priya M","lastName":"S","suffix":""}],"badges":[],"createdAt":"2025-04-29 07:53:26","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6553895/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6553895/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":83753801,"identity":"7e1d8bd3-691d-4d78-a9cf-0b34e096c7f3","added_by":"auto","created_at":"2025-06-02 07:52:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":478413,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6553895/v1_covered_5246e592-b247-45f3-919b-ececed96c3bb.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Finite-time based state estimation for discrete-time T-S fuzzy complex dynamical networks with multi-weights and packet dropouts","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Discrete-time systems, T-S fuzzy complex dynamical networks, Dissipativity, Resilient filtering, Finite-time analysis, Packet dropouts","lastPublishedDoi":"10.21203/rs.3.rs-6553895/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6553895/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In this paper, we examine the problem of state estimation for a class of Takagi-Sugeno (T-S) fuzzy complex dynamical networks (CDNs) with packet dropouts, time-varying coupling delays and multiple weights. 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