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Nonlinear feedback control for general acyclic traffic networks

Kontorinaki Maria, Karafyllis, Iasson, Papageorgiou Markos

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URIhttp://purl.tuc.gr/dl/dias/663DB3D5-8236-499C-A82C-CB116813B10E-
Identifierhttps://doi.org/10.1016/j.ifacol.2017.08.613-
Identifierhttps://www.sciencedirect.com/science/article/pii/S2405896317309928-
Languageen-
Extent8 pagesen
TitleNonlinear feedback control for general acyclic traffic networksen
CreatorKontorinaki Mariaen
CreatorΚοντορινακη Μαριαel
CreatorKarafyllis, Iassonen
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
PublisherElsevieren
DescriptionThe research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 321132, project TRAMAN21. en
Content SummaryThis work is devoted to the construction of explicit feedback control laws for the robust global exponential stabilization of general uncertain discrete-time acyclic traffic networks. We consider discrete-time uncertain network models which satisfy very weak assumptions. The construction of the controllers is based on recently proposed vector-Lyapunov function criteria, as well as the fact that the network is acyclic. The latter requirement is necessary for the existence of a robust, global, exponential stabilizer of the desired uncongested equilibrium point of the network. An illustrative example demonstrates the applicability of the obtained results to realistic traffic ow networks.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2018-04-16-
Date of Publication2017-
SubjectNonlinear systemsen
SubjectDiscrete-time systemsen
SubjectAcyclic networksen
SubjectTraffic controlen
Bibliographic CitationM. Kontorinaki, I. Karafyllis and M. Papageorgiou, "Nonlinear feedback control for general acyclic traffic networks," in 20th IFAC World Congress, 2017, pp. 5448-5455. doi: 10.1016/j.ifacol.2017.08.613en

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