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dc.contributor.authorRotondo, Damiano
dc.contributor.authorJohansen, Tor Arne
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2019-04-24T14:15:02Z
dc.date.available2019-04-24T14:15:02Z
dc.date.issued2018-05-01
dc.identifier.citationRotondo, D.; Johansen , T. A. Analysis and design of quadratic parameter varying (QPV) control systems with polytopic attractive region. "Journal of the Franklin Institute", 1 Maig 2018, vol. 355, núm. 8, p. 3488-3507.
dc.identifier.issn0016-0032
dc.identifier.urihttp://hdl.handle.net/2117/131951
dc.description© <2018>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.abstractThis paper proposes a gain-scheduling approach for systems with a quadratic structure. Both the stability analysis and the state-feedback controller design problems are considered for quadratic parameter varying (QPV) systems. The developed approach assesses/enforces the belonging of a polytopic region of the state space to the region of attraction of the origin, and relies on a linear matrix inequality (LMI) feasibility problem. The main characteristics of the proposed approach are illustrated by means of examples, which confirm the validity of the theoretical results.
dc.format.extent20 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.otherGain-scheduled control
dc.subject.otherquadratic systems
dc.subject.otherLyapunov stability
dc.subject.otherregion of attraction
dc.titleAnalysis and design of quadratic parameter varying (QPV) control systems with polytopic attractive region
dc.typeArticle
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1016/j.jfranklin.2018.01.046
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Control theory
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0016003218301625
dc.rights.accessOpen Access
local.identifier.drac22965842
dc.description.versionPostprint (author's final draft)
local.citation.authorRotondo, D.; Johansen , T. A.
local.citation.publicationNameJournal of the Franklin Institute
local.citation.volume355
local.citation.number8
local.citation.startingPage3488
local.citation.endingPage3507


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