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dc.contributor.authorKuipers, M.en
dc.contributor.authorIoannou, Petros A.en
dc.creatorKuipers, M.en
dc.creatorIoannou, Petros A.en
dc.date.accessioned2019-12-02T10:36:35Z
dc.date.available2019-12-02T10:36:35Z
dc.date.issued2008
dc.identifier.isbn978-1-4244-2079-7
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57190
dc.description.abstractA novel disturbance rejection solution for a benchmark mass-spring-damper (MSD) system is presented. The proposed design, adaptive mixing control (AMC,) is a deterministic multiple model adaptive control (MMAC) approach that mixes candidate controllers by monitoring real-time estimates of an unknown parameter. Monte Carlo simulations are conducted to compare the performance of the AMC scheme with a stochastic robust MMAC (RMMAC) scheme, as well as a nonadaptive mixed-mu compensator. ©2008 AACC.en
dc.sourceProceedings of the American Control Conferenceen
dc.source2008 American Control Conference, ACCen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-52449134562&doi=10.1109%2fACC.2008.4587315&partnerID=40&md5=069cb0cc6fd88b753ee2af81d61297fe
dc.subjectMonte Carlo methodsen
dc.subjectControl theoryen
dc.subjectDisturbance rejectionen
dc.subjectAdaptive control systemsen
dc.subjectMixingen
dc.subjectCandidate controllersen
dc.subjectMixing controlen
dc.subjectRobust adaptive controlen
dc.subjectAMC schemeen
dc.subjectMass-spring-damperen
dc.subjectMonte-Carlo simulationsen
dc.subjectMultiple-model adaptive controlen
dc.titlePractical robust adaptive control: Benchmark exampleen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ACC.2008.4587315
dc.description.startingpage5168
dc.description.endingpage5173
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeConference Objecten
dc.description.notes<p>Cited By :21</p>en
dc.contributor.orcidIoannou, Petros A. [0000-0001-6981-0704]
dc.gnosis.orcid0000-0001-6981-0704


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