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dc.contributor.authorRotondo, Damiano
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2019-11-25T11:14:49Z
dc.date.available2019-11-25T11:14:49Z
dc.date.created2019-11-23T11:18:55Z
dc.date.issued2019
dc.identifier.isbn978-3-907144-00-8
dc.identifier.urihttp://hdl.handle.net/11250/2630229
dc.description.abstractThis paper addresses the problem of state observation in quadratic parameter varying (QPV) systems. In particular, a state observer is designed in such a way that the estimation error converges to zero with a desired rate of convergence in a given polytopic region of the error space. Under some assumptions, it is shown that design conditions can be given in the form of a set of bilinear matrix inequalities (BMIs), which can be reduced to linear matrix inequalities (LMIs), which are computationally more tractable. The main characteristics of the proposed approach are illustrated by means of an example, which confirms the validity of the theoretical results.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartof2019 18th European Control Conference (ECC)
dc.titleState observer design for quadratic parameter varying (QPV) systemsnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.doi10.23919/ECC.2019.8796263
dc.identifier.cristin1751310
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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