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Linear matrix inequalities and semidefinite programming: Applications in control

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dc.title Linear matrix inequalities and semidefinite programming: Applications in control en
dc.contributor.author Matušů, Radek
dc.relation.ispartof International Journal of Mathematical Models and Methods in Applied Sciences
dc.identifier.issn 1998-0140 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2014
utb.relation.volume 8
utb.relation.issue 1
dc.citation.spage 181
dc.citation.epage 189
dc.type article
dc.language.iso en
dc.publisher North Atlantic University Union (NAUN)
dc.relation.uri http://www.naun.org/cms.action?id=7630
dc.subject Control Theory en
dc.subject Convex Optimization en
dc.subject Linear Matrix Inequalities en
dc.subject Semidefinite Programming en
dc.description.abstract This paper outlines the issues of Linear Matrix Inequalities (LMIs) and semidefinite programming with emphasis on their wide application potential in the field of automatic control. It presents the history and basic theory of LMIs, briefly introduces their possible solution by means of convex optimization, and overviews the selected problems from the control theory viewpoint. The final part of the work deals with the most popular LMI software solvers. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003800
utb.identifier.obdid 43871585
utb.identifier.scopus 2-s2.0-84902484393
utb.source j-scopus
dc.date.accessioned 2014-07-18T08:15:31Z
dc.date.available 2014-07-18T08:15:31Z
utb.ou CEBIA-Tech
utb.contributor.internalauthor Matušů, Radek
utb.fulltext.affiliation Radek Matušů is with the Centre for Security, Information and Advanced Technologies (CEBIA – Tech), Faculty of Applied Informatics, Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, 760 01 Zlín, Czech Republic. The email contact is: [email protected].
utb.fulltext.dates -
utb.fulltext.sponsorship The work was supported by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089. This assistance is very gratefully acknowledged
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou CEBIA-Tech
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