Solving minimax control problems via nonsmooth optimization

dc.creatorGianatti, Justina
dc.creatorAragone, Laura Susana
dc.creatorLotito, Pablo Andres
dc.creatorParente, Lisandro Armando
dc.date.accessioned2018-07-19T17:47:02Z
dc.date.accessioned2018-11-06T12:13:59Z
dc.date.available2018-07-19T17:47:02Z
dc.date.available2018-11-06T12:13:59Z
dc.date.created2018-07-19T17:47:02Z
dc.date.issued2016-09
dc.identifierGianatti, Justina; Aragone, Laura Susana; Lotito, Pablo Andres; Parente, Lisandro Armando; Solving minimax control problems via nonsmooth optimization; Elsevier Science; Operations Research Letters; 44; 5; 9-2016; 680-686
dc.identifier0167-6377
dc.identifierhttp://hdl.handle.net/11336/52669
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1864592
dc.description.abstractWe address minimax optimal control problems with linear dynamics. Under convexity assumptions, by using non-smooth optimization techniques, we derive a set of optimality conditions for the continuous-time case. We define an approximated discrete-time problem where analogous conditions hold. One of them allows us to design an easily implementable descent method. We analyze its convergence and we show some preliminary numerical results.
dc.languageeng
dc.publisherElsevier Science
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S016763771630075X
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.orl.2016.08.001
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMINIMAX CONTROL PROBLEMS
dc.subjectNONSMOOTH OPTIMIZATION
dc.subjectNUMERICAL SOLUTIONS
dc.subjectOPTIMALITY CONDITIONS
dc.titleSolving minimax control problems via nonsmooth optimization
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución