H∞ Robust Sampled-Data State-Feedback Control of Linear Systems

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher
AI-generated summary by claude@2026-07, 2026-07-17

This paper presents sampled-data state-feedback controllers for uncertain linear systems, modeled as hybrid linear dynamic systems, which guarantee robust stability and H∞ performance through computationally tractable design conditions.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-07, 2026-07-17 · read from full text

The paper devises sampled-data state-feedback controllers for uncertain linear systems to guarantee robust stability and an H∞ performance bound. It models the closed-loop dynamics as a hybrid linear system that unifies continuous and discrete-time behavior, representing uncertainties as either polytopic or interval sets, and derives computationally tractable design conditions that upper-bound the closed-loop H∞ norm while avoiding parameter explosion from discretization. Numerical examples with simulation verification demonstrate that the proposed methods maintain the theoretical performance guarantees across the full uncertainty space. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract In this paper, we devise sampled-data state-feedback controllers for uncertain linear systems that ensure robust stability and H∞ performance. We model the closed-loop system as a hybrid linear dynamic system with polytopic or interval uncertainties, capturing continuous and discrete-time behaviours in a unified framework. This approach avoids the proliferation of uncertain parameters typically encountered in discretization methods. Using this hybrid model, we derive computationally tractable control design conditions that guarantee an upper bound for the associated closed-loop $\Hoo$ norm. Our formulation enables designers to select between interval methods that offer computational efficiency for systems with numerous independent uncertainties, or polytopic methods that provide less conservative results at higher computational cost. Numerical examples with detailed simulation verification demonstrate the effectiveness of our proposed techniques and validate the theoretical performance guarantees across the entire uncertainty space.
Full text 12,842 characters · extracted from preprint-html · click to expand
H∞ Robust Sampled-Data State-Feedback Control of Linear Systems | 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 H ∞ Robust Sampled-Data State-Feedback Control of Linear Systems Rafael Martins Alves, André Ricardo Fioravanti, Matheus Souza This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6356264/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 18 Mar, 2026 Read the published version in Journal of Control, Automation and Electrical Systems → Version 1 posted 11 You are reading this latest preprint version Abstract In this paper, we devise sampled-data state-feedback controllers for uncertain linear systems that ensure robust stability and H∞ performance. We model the closed-loop system as a hybrid linear dynamic system with polytopic or interval uncertainties, capturing continuous and discrete-time behaviours in a unified framework. This approach avoids the proliferation of uncertain parameters typically encountered in discretization methods. Using this hybrid model, we derive computationally tractable control design conditions that guarantee an upper bound for the associated closed-loop $\Hoo$ norm. Our formulation enables designers to select between interval methods that offer computational efficiency for systems with numerous independent uncertainties, or polytopic methods that provide less conservative results at higher computational cost. Numerical examples with detailed simulation verification demonstrate the effectiveness of our proposed techniques and validate the theoretical performance guarantees across the entire uncertainty space. H control Robust control Hybrid systems Sampled-data systems Interval uncertainty Polytopic uncertainty Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 18 Mar, 2026 Read the published version in Journal of Control, Automation and Electrical Systems → Version 1 posted Editorial decision: Revision requested 15 Jul, 2025 Reviews received at journal 06 May, 2025 Reviews received at journal 19 Apr, 2025 Reviewers agreed at journal 09 Apr, 2025 Reviews received at journal 08 Apr, 2025 Reviewers agreed at journal 08 Apr, 2025 Reviewers agreed at journal 07 Apr, 2025 Reviewers invited by journal 07 Apr, 2025 Editor assigned by journal 05 Apr, 2025 Submission checks completed at journal 05 Apr, 2025 First submitted to journal 01 Apr, 2025 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-6356264","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":439933194,"identity":"5fe4dbeb-58fc-407c-9a64-eb0455c80361","order_by":0,"name":"Rafael Martins Alves","email":"","orcid":"","institution":"State University of Campinas","correspondingAuthor":false,"prefix":"","firstName":"Rafael","middleName":"Martins","lastName":"Alves","suffix":""},{"id":439933195,"identity":"291116f4-fd70-4183-a46c-f9d72df4338d","order_by":1,"name":"André Ricardo Fioravanti","email":"","orcid":"","institution":"State University of Campinas","correspondingAuthor":false,"prefix":"","firstName":"André","middleName":"Ricardo","lastName":"Fioravanti","suffix":""},{"id":439933196,"identity":"70827a5a-9253-488c-bdc1-e5ce8530dcbc","order_by":2,"name":"Matheus Souza","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3ElEQVRIiWNgGAWjYPACG34IbQAm2YjRkibZQKqWw1AtDERo0e0/fEzyR815CX72BjbpggI7ed3ZDWyPK/BoMbuRliYhcey2hGTPATbpGQbJhtvuHGA3PINXC4+ZhAHb7TqDGwls0jwGBxi3ARkozsTQcv6MmUTCv3MS9vcfgLXYE9ZyIMdM4mDbAQkDCQawlkTCWm6kJVs29iVLSJxJbLbmMUhO3nbnYLshfocdPnjzxzc7Cf72wwdv8/yxs912u/nYQ3xakAAjVJ0EjEE8kCBVwygYBaNgFAx3AACoEkqV+o5U3wAAAABJRU5ErkJggg==","orcid":"","institution":"State University of Campinas","correspondingAuthor":true,"prefix":"","firstName":"Matheus","middleName":"","lastName":"Souza","suffix":""}],"badges":[],"createdAt":"2025-04-01 23:08:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6356264/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6356264/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s40313-026-01260-2","type":"published","date":"2026-03-18T15:59:10+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":105223415,"identity":"f51ca6d6-f239-4855-97d6-95424bdad4ce","added_by":"auto","created_at":"2026-03-23 16:06:04","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":478595,"visible":true,"origin":"","legend":"","description":"","filename":"3.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6356264/v1_covered_ce6075bd-a195-4a51-828e-5b7af40d86a2.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eH\u003csub\u003e\u003cem\u003e∞\u003c/em\u003e\u003c/sub\u003e Robust Sampled-Data State-Feedback Control of Linear Systems\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"journal-of-control-automation-and-electrical-systems","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jcae","sideBox":"Learn more about [Journal of Control, Automation and Electrical Systems](https://link.springer.com/journal/40313)","snPcode":"40313","submissionUrl":"https://submission.springernature.com/new-submission/40313/3","title":"Journal of Control, Automation and Electrical Systems","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"H control, Robust control, Hybrid systems, Sampled-data systems, Interval uncertainty, Polytopic uncertainty","lastPublishedDoi":"10.21203/rs.3.rs-6356264/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6356264/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn this paper, we devise sampled-data state-feedback controllers for uncertain linear systems that ensure robust stability and H∞ performance. We model the closed-loop system as a hybrid linear dynamic system with polytopic or interval uncertainties, capturing continuous and discrete-time behaviours in a unified framework. This approach avoids the proliferation of uncertain parameters typically encountered in discretization methods. Using this hybrid model, we derive computationally tractable control design conditions that guarantee an upper bound for the associated closed-loop $\\Hoo$ norm. Our formulation enables designers to select between interval methods that offer computational efficiency for systems with numerous independent uncertainties, or polytopic methods that provide less conservative results at higher computational cost. Numerical examples with detailed simulation verification demonstrate the effectiveness of our proposed techniques and validate the theoretical performance guarantees across the entire uncertainty space.\u003c/p\u003e","manuscriptTitle":"H∞ Robust Sampled-Data State-Feedback Control of Linear Systems","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-09 08:00:53","doi":"10.21203/rs.3.rs-6356264/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-07-15T19:53:27+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-05-07T00:56:08+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-04-20T02:22:37+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"222398766684928788677670944573405643474","date":"2025-04-09T14:40:01+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-04-08T07:26:03+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"308508699713234714870444531427796502986","date":"2025-04-08T04:01:05+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"11640307617089339242852541363799377552","date":"2025-04-07T10:24:35+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-04-07T09:43:07+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-04-05T07:04:57+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-04-05T07:03:05+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Control, Automation and Electrical Systems","date":"2025-04-01T23:05:45+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-control-automation-and-electrical-systems","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jcae","sideBox":"Learn more about [Journal of Control, Automation and Electrical Systems](https://link.springer.com/journal/40313)","snPcode":"40313","submissionUrl":"https://submission.springernature.com/new-submission/40313/3","title":"Journal of Control, Automation and Electrical Systems","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"7aa79563-2976-47af-9e0b-97c0f0876f23","owner":[],"postedDate":"April 9th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2026-03-23T16:02:18+00:00","versionOfRecord":{"articleIdentity":"rs-6356264","link":"https://doi.org/10.1007/s40313-026-01260-2","journal":{"identity":"journal-of-control-automation-and-electrical-systems","isVorOnly":false,"title":"Journal of Control, Automation and Electrical Systems"},"publishedOn":"2026-03-18 15:59:10","publishedOnDateReadable":"March 18th, 2026"},"versionCreatedAt":"2025-04-09 08:00:53","video":"","vorDoi":"10.1007/s40313-026-01260-2","vorDoiUrl":"https://doi.org/10.1007/s40313-026-01260-2","workflowStages":[]},"version":"v1","identity":"rs-6356264","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6356264","identity":"rs-6356264","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
unpaywall
last seen: 2026-05-27T02:00:06.600101+00:00
License: CC-BY-4.0