Differential neural networks for identification and filtering in nonlinear dynamic games

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dc.creatorEmmanuel García
dc.date2014
dc.date.accessioned2018-10-18T21:21:52Z
dc.date.available2018-10-18T21:21:52Z
dc.descriptionThis paper deals with the problem of identifying and filtering a class of continuous-time nonlinear dynamic games (nonlinear differential games) subject to additive and undesired deterministic perturbations. Moreover, the mathematical model of this class is completely unknown with the exception of the control actions of each player, and even though the deterministic noises are known, their power (or their effect) is not. Therefore, two differential neural networks are designed in order to obtain a feedback (perfect state) information pattern for the mentioned class of games. In this way, the stability conditions for two state identification errors and for a filtering error are established, the upper bounds of these errors are obtained, and two new learning laws for each neural network are suggested. Finally, an illustrating example shows the applicability of this approach. © 2014 Emmanuel García and Daishi Alfredo Murano.
dc.identifier.doi10.1155/2014/306761
dc.identifier.issn1024123X
dc.identifier.urihttp://hdl.handle.net/11285/630421
dc.identifier.volume2014
dc.languageeng
dc.publisherHindawi Publishing Corporation
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84903555017&doi=10.1155%2f2014%2f306761&partnerID=40&md5=8cf824c81f84d9804219cf8ba3f7ef23
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceMathematical Problems in Engineering
dc.subjectErrors
dc.subjectMathematical models
dc.subjectContinuous-time
dc.subjectControl actions
dc.subjectDeterministic perturbation
dc.subjectDifferential games
dc.subjectDifferential neural network
dc.subjectFiltering error
dc.subjectInformation patterns
dc.subjectStability condition
dc.subjectFeedback
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleDifferential neural networks for identification and filtering in nonlinear dynamic games
dc.typeArtículo
refterms.dateFOA2018-10-18T21:21:52Z

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