A robust prediction-based H-infinity control strategy forneutral-type time-delay systems with input delay

preprint OA: closed
Full text JSON View at publisher
Full text 11,759 characters · extracted from preprint-html · click to expand
A robust prediction-based H-infinity control strategy forneutral-type time-delay systems with input delay | 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 A robust prediction-based H-infinity control strategy forneutral-type time-delay systems with input delay Mohammad Amin Faghihi, Shabnam Tashakori, Alireza Timas, Amirhossein Nikoofard This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7572976/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 State prediction is a widely used approach to compensate for input delays incontrol systems; however, its accuracy is inherently dependent on the modeldynamics, making prediction errors unavoidable. Such errors can cause deviations in the applied control commands, leading to performance degradation andpotential system instability. In this study, a robust prediction-based H-infinity control strategy is proposed for Neutral-type Delay Differential Equations (NDDEs) with state and input time delays. The unmodeled dynamics are represented asan exogenous input, which not only directly impacts control performance but also introduces state prediction errors, further a ecting control effort. To address these challenges, the control gains are optimally tuned to minimize the H-infinity norm of the transfer function between the exogenous input and the system output, ensuring robustness against disturbances. A practical example of time-delay systems, i.e., the oil-well drill-string system, is employed to demonstrate the effectiveness of the proposed controller. Specifically, the H-infinity controller is applied to a coupled axial-torsional model of a drill-string, formulated as an NDDE with both state and input delays. Simulation results highlight the superior performance ofthe designed controller in mitigating disturbances and optimizing control gainsto achieve minimal H-infinity norm. Prediction-based control Robust H1 control Neutral-type Delay Di erential Equation (NDDE) Exogenous Input Disturbance Input delay compensation 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-7572976","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":515163166,"identity":"d48e9cd2-1e4e-457c-8434-29428b8aa167","order_by":0,"name":"Mohammad Amin Faghihi","email":"","orcid":"","institution":"Shiraz University","correspondingAuthor":false,"prefix":"","firstName":"Mohammad","middleName":"Amin","lastName":"Faghihi","suffix":""},{"id":515163167,"identity":"9c202e72-9aed-4180-ae0c-d1d26e5eedb2","order_by":1,"name":"Shabnam Tashakori","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIie3RrwrCQBzA8V/ayuHqb5zgK5wIU0H0VTYGsxwaLAbD0izCXshwQ3BlD7C4lVtZMBpEPA0iKCc2w33C/Qlf7gcHYBj/yQIQarXjx81/WT8jz4SIx/5DAui/JDozO5fVuZgsO24j6Wk9XYB9qKDea14hfNjfldE4odxDUYQrIBEDX+oG4xaS04FZVB2yRAQxcDWe0CROI93LPXFzidlVJU77JUHfo6RUCYKHWawS/PZK2Xq0W0TMInwwKo5hkKBkQpfY6Vy67XHCetu8LtebaZA6YV2fNck79U3wU2AYhmG8uwH8XVDpIexJBAAAAABJRU5ErkJggg==","orcid":"","institution":"Shiraz University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Shabnam","middleName":"","lastName":"Tashakori","suffix":""},{"id":515163168,"identity":"ad6e0319-0350-46e3-a39b-2edcd0a17a42","order_by":2,"name":"Alireza Timas","email":"","orcid":"","institution":"Shiraz University","correspondingAuthor":false,"prefix":"","firstName":"Alireza","middleName":"","lastName":"Timas","suffix":""},{"id":515163169,"identity":"b8021a34-d91b-4bbe-a8f3-ce49d9d76366","order_by":3,"name":"Amirhossein Nikoofard","email":"","orcid":"","institution":"K.N.Toosi University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Amirhossein","middleName":"","lastName":"Nikoofard","suffix":""}],"badges":[],"createdAt":"2025-09-09 10:53:27","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7572976/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7572976/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":91864339,"identity":"25a4beb6-78f5-4d13-a65c-7a76d2df83a5","added_by":"auto","created_at":"2025-09-22 13:04:34","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":643216,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7572976/v1/99454c666edbab5d5a71cf77.pdf"},{"id":91864338,"identity":"bd1b2e39-c6d1-42b2-b473-f8450e1e713b","added_by":"auto","created_at":"2025-09-22 13:04:34","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":6004,"visible":true,"origin":"","legend":"","description":"","filename":"0e14c81975b841daa3d8465b85b7be9f.json","url":"https://assets-eu.researchsquare.com/files/rs-7572976/v1/3494431d539a5a9a47cb1010.json"},{"id":91865794,"identity":"ea527547-9bec-4adf-914a-14e4755fda7a","added_by":"auto","created_at":"2025-09-22 13:12:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":568741,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7572976/v1_covered_6d7f1c2d-a2d2-40ed-88c2-568419d645c1.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A robust prediction-based H-infinity control strategy forneutral-type time-delay systems with input delay","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":"Prediction-based control, Robust H1 control, Neutral-type Delay Di erential Equation (NDDE), Exogenous Input Disturbance, Input delay compensation","lastPublishedDoi":"10.21203/rs.3.rs-7572976/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7572976/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"State prediction is a widely used approach to compensate for input delays incontrol systems; however, its accuracy is inherently dependent on the modeldynamics, making prediction errors unavoidable. Such errors can cause deviations in the applied control commands, leading to performance degradation andpotential system instability. In this study, a robust prediction-based H-infinity control strategy is proposed for Neutral-type Delay Differential Equations (NDDEs) with state and input time delays. The unmodeled dynamics are represented asan exogenous input, which not only directly impacts control performance but also introduces state prediction errors, further a ecting control effort. To address these challenges, the control gains are optimally tuned to minimize the H-infinity norm of the transfer function between the exogenous input and the system output, ensuring robustness against disturbances. A practical example of time-delay systems, i.e., the oil-well drill-string system, is employed to demonstrate the effectiveness of the proposed controller. Specifically, the H-infinity controller is applied to a coupled axial-torsional model of a drill-string, formulated as an NDDE with both state and input delays. Simulation results highlight the superior performance ofthe designed controller in mitigating disturbances and optimizing control gainsto achieve minimal H-infinity norm.","manuscriptTitle":"A robust prediction-based H-infinity control strategy forneutral-type time-delay systems with input delay","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-22 13:04:29","doi":"10.21203/rs.3.rs-7572976/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"9053f8b9-4b65-4630-a541-b10ce55663f2","owner":[],"postedDate":"September 22nd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-04-29T04:55:06+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-22 13:04:29","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7572976","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7572976","identity":"rs-7572976","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00