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Discrete relaxed method for semilinear parabolic optimal control problems

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dc.contributor.author Chryssoverghi, I en
dc.contributor.author Coletsos, J en
dc.contributor.author Kokkinis, B en
dc.date.accessioned 2014-03-01T01:14:31Z
dc.date.available 2014-03-01T01:14:31Z
dc.date.issued 1999 en
dc.identifier.issn 0324-8569 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/13121
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-18544396285&partnerID=40&md5=c6c0e1e137a5248651ca56f8a79ade0b en
dc.subject Discretization en
dc.subject Optimal control en
dc.subject Penalty method en
dc.subject Relaxed controls en
dc.subject Semilinear parabolic systems en
dc.subject.classification Automation & Control Systems en
dc.subject.classification Computer Science, Cybernetics en
dc.subject.other NONCONVEX OPTIMAL-CONTROL en
dc.subject.other APPROXIMATION en
dc.title Discrete relaxed method for semilinear parabolic optimal control problems en
heal.type journalArticle en
heal.language English en
heal.publicationDate 1999 en
heal.abstract We consider an optimal control problem for systems governed by semilinear parabolic partial differential equations with control and state constraints, without any convexity assumptions. A discrete optimization method is proposed to solve this problem in its relaxed form which combines a penalized Armijo type method with a finite element discretization and constructs sequences of discrete Gamkrelidze relaxed controls. Under appropriate assumptions, we prove that accumulation points of these sequences satisfy the relaxed Pontryagin necessary conditions for optimality. Moreover, we show that the Gamkrelidze controls thus generated can be replaced by simulating piecewise constant classical controls. en
heal.publisher POLISH ACAD SCIENCES SYSTEMS RESEARCH INST en
heal.journalName Control and Cybernetics en
dc.identifier.isi ISI:000089863800001 en
dc.identifier.volume 28 en
dc.identifier.issue 2 en
dc.identifier.spage X en
dc.identifier.epage 176 en


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