<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/6A6D48FD-F6F4-431C-9EEB-B48074EE813E"><efrbr-work:titleOfTheWork>Simultaneous compensation of input delay and state/input quantization for linear systems via switched predictor feedback</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/6A6D48FD-F6F4-431C-9EEB-B48074EE813E"><efrbr-expression:titleOfTheExpression>Simultaneous compensation of input delay and state/input quantization for linear systems via switched predictor feedback</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2024-08-28</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2024</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>We develop a switched predictor-feedback law, which achieves global asymptotic stabilization of linear systems with input delay and with the plant and actuator states available only in (almost) quantized form. The control design relies on a quantized version of the nominal predictor-feedback law for linear systems, in which quantized measurements of the plant and actuator states enter the predictor state formula. A switching strategy is constructed to dynamically adjust the tunable parameter of the quantizer (in a piecewise constant manner), in order to initially increase the range and subsequently decrease the error of the quantizers. The key element in the proof of global asymptotic stability in the supremum norm of the actuator state is derivation of solutions’ estimates combining a backstepping transformation with small-gain and input-to-state stability arguments, for addressing the error due to quantization. We extend this result to the input quantization case and illustrate our theory with a numerical example.</efrbr-expression:summarizationOfContent><efrbr-expression:contextForTheExpression>Funded by the European Union (ERC, C-NORA, 101088147). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.</efrbr-expression:contextForTheExpression><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by-nc-nd/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">Systems &amp; Control Letters</efrbr-expression:note><efrbr-expression:note type="journal volume">192</efrbr-expression:note><efrbr-expression:note type="page range">paper no. 105912</efrbr-expression:note></efrbr-expression:expression><efrbr-manifestation:manifestation identifier="https://dias.library.tuc.gr/view/100752"><efrbr-manifestation:titleOfTheManifestation>Koudohode_et_al_Syst. Control Lett_2024_preprint.pdf</efrbr-manifestation:titleOfTheManifestation><efrbr-manifestation:publicationDistribution><efrbr-manifestation:placeOfPublicationDistribution type="distribution">Chania [Greece]</efrbr-manifestation:placeOfPublicationDistribution><efrbr-manifestation:publisherDistributor type="distributor">Library of TUC</efrbr-manifestation:publisherDistributor><efrbr-manifestation:dateOfPublicationDistribution>2024-08-27</efrbr-manifestation:dateOfPublicationDistribution></efrbr-manifestation:publicationDistribution><efrbr-manifestation:formOfCarrier>application/pdf</efrbr-manifestation:formOfCarrier><efrbr-manifestation:extentOfTheCarrier>576.5 kB</efrbr-manifestation:extentOfTheCarrier><efrbr-manifestation:accessRestrictionsOnTheManifestation>free</efrbr-manifestation:accessRestrictionsOnTheManifestation></efrbr-manifestation:manifestation><efrbr-person:person identifier="http://users.isc.tuc.gr/~fkoudohode"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Koudohode Florent
            Florent Koudohode
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~nlimperis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Bekiaris-Liberis Nikolaos
            Μπεκιαρης-Λυμπερης Νικολαος
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            Elsevier
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="F7E938C3-7BDE-4E25-9B53-83E6C5383C49"><efrbr-concept:termForTheConcept>
            Predictor feedback
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="6CE2E168-8714-44D0-B204-2D6F80C28893"><efrbr-concept:termForTheConcept>
            Quantization
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="6D7D095E-793F-4EF8-83A7-C18339FA8711"><efrbr-concept:termForTheConcept>
            Input delay
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="DAB62D31-8795-45FE-9082-75553E1177C9"><efrbr-concept:termForTheConcept>
            ODE-hyperbolic PDE cascade
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            Hybrid control
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