{"data":{"id":"10.4121/0ca54be9-d418-4c1c-b905-174329a17202","type":"dois","attributes":{"doi":"10.4121/0ca54be9-d418-4c1c-b905-174329a17202","prefix":"10.4121","suffix":"0ca54be9-d418-4c1c-b905-174329a17202","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Dinkla, Rogier","nameType":"Personal","givenName":"Rogier","familyName":"Dinkla","nameIdentifiers":[{"nameIdentifier":"0009-0005-2717-9957","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Mulders, Sebastiaan","nameType":"Personal","givenName":"Sebastiaan","familyName":"Mulders","nameIdentifiers":[{"nameIdentifier":"0000-0003-4689-257X","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"van Wingerden, Jan-Willem","nameType":"Personal","givenName":"Jan-Willem","familyName":"van Wingerden","nameIdentifiers":[{"nameIdentifier":"0000-0003-3061-7442","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Oomen, Tom","nameType":"Personal","givenName":"Tom","familyName":"Oomen","nameIdentifiers":[{"nameIdentifier":"0000-0001-7721-4566","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Code and data belonging to the publication \"Closed-loop Aspects of Data-Enabled Predictive Control\""}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2026,"subjects":[{"subject":"Mechanical Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0913"},{"subject":"FOS: Mechanical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"Data-driven control"},{"subject":"subspace predictive control"},{"subject":"data-enabled predictive control"},{"subject":"closed loop identification"},{"subject":"instrumental variables"}],"contributors":[{"name":"TU Delft, Faculty of Mechanical Engineering, Delft Center for Systems and Control","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2026-05-04","dateType":"Issued"}],"language":"en","types":{"ris":"COMP","bibtex":"misc","citeproc":"article","schemaOrg":"SoftwareSourceCode","resourceType":"Software","resourceTypeGeneral":"Software"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1016/j.ifacol.2023.10.1806","relatedIdentifierType":"DOI"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/0ca54be9-d418-4c1c-b905-174329a17202.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["MATLAB/.m, MATLAB/.mat"],"version":"1","rightsList":[{"rights":"MIT License","rightsUri":"https://opensource.org/licenses/MIT","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"mit","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This code allows one to generate figures that correspond to the publication \"Closed-loop Aspects of Data-Enabled Predictive Control\".Data that derives from this code is provided separately in this upload (see paper_probleemstelling_24n120.mat file). Use of this .mat file allows direct reproduction of the figures without running new simulations. See the README.md file for instructions.\u003cbr\u003eAbstract:In recent years, the amount of data available from systems has drastically increased, mo-tivating the use of direct data-driven control techniques that avoid the need of parametricmodeling. The aim of this chapter is to analyze closed-loop aspects of these approachesin the presence of noise. To analyze this, a unified formulation of several approaches,including DeePC and SPC is obtained and the influence of noise on closed-loop predictorsis analyzed. The analysis reveals potential closed-loop correlation problems, which areclosely related to well-known results in closed-loop system identification, and consequentcontrol issues. A case study reveals the hazards of noise in data-driven control.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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