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Discrete approximation of relaxed optimal control problems

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dc.contributor.author Chryssoverghi, I en
dc.contributor.author Bacopoulos, A en
dc.date.accessioned 2014-03-01T01:07:51Z
dc.date.available 2014-03-01T01:07:51Z
dc.date.issued 1990 en
dc.identifier.issn 0022-3239 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/10208
dc.subject approximation en
dc.subject discretization en
dc.subject nonconvexity en
dc.subject nonlinear systems en
dc.subject Optimal control en
dc.subject relaxed controls en
dc.subject.classification Operations Research & Management Science en
dc.subject.classification Mathematics, Applied en
dc.subject.other Mathematical Techniques--Approximation Theory en
dc.subject.other Discretization en
dc.subject.other Optimal Control en
dc.subject.other Control Systems, Optimal en
dc.title Discrete approximation of relaxed optimal control problems en
heal.type journalArticle en
heal.identifier.primary 10.1007/BF00939558 en
heal.identifier.secondary http://dx.doi.org/10.1007/BF00939558 en
heal.language English en
heal.publicationDate 1990 en
heal.abstract We consider a general nonlinear optimal control problem for systems governed by ordinary differential equations with terminal state constraints. No convexity assumptions are made. The problem, in its so-called relaxed form, is discretized and necessary conditions for discrete relaxed optimality are derived. We then prove that discrete optimality [resp., extremality] in the limit carries over to continuous optimality [resp., extremality]. Finally, we prove that limits of sequences of Gamkrelidze discrete relaxed controls can be approximated by classical controls. © 1990 Plenum Publishing Corporation. en
heal.publisher Kluwer Academic Publishers-Plenum Publishers en
heal.journalName Journal of Optimization Theory and Applications en
dc.identifier.doi 10.1007/BF00939558 en
dc.identifier.isi ISI:A1990DF75300001 en
dc.identifier.volume 65 en
dc.identifier.issue 3 en
dc.identifier.spage 395 en
dc.identifier.epage 407 en


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