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Predictor-based adaptive cruise control design

Bekiaris-Liberis Nikolaos, Papageorgiou Markos, Roncoli Claudio

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URIhttp://purl.tuc.gr/dl/dias/24128F05-64DE-4B7E-A9AC-351A57129F90-
Identifierhttp://ieeexplore.ieee.org/document/8167312/?reload=true-
Identifierhttps://doi.org/10.1109/TITS.2017.2771501-
Languageen-
Extent16 pagesen
TitlePredictor-based adaptive cruise control designen
CreatorBekiaris-Liberis Nikolaosen
CreatorΜπεκιαρης-Λυμπερης Νικολαοςel
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
CreatorRoncoli Claudioen
CreatorRoncoli Claudioel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryWe develop a predictor-based adaptive cruise control design with integral action (based on a nominal constant time-headway policy) for the compensation of large actuator and sensor delays in vehicular systems utilizing measurements of the relative spacing as well as of the speed and the short-term history of the desired acceleration of the ego vehicle. By employing an input-output approach, we show that the predictor-based adaptive cruise control law with integral action guarantees all of the four typical performance specifications of adaptive cruise control designs, namely, 1) stability, 2) zero steady-state spacing error, 3) string stability, and 4) non-negative impulse response, despite the large input delay. The effectiveness of the developed control design is shown in simulation considering various performance metrics.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-03-05-
Date of Publication2017-
SubjectAccelerationen
SubjectActuatorsen
SubjectAdaptive cruise controlen
SubjectControl designen
Subjectdelay systemsen
SubjectDelaysen
SubjectNumerical stabilityen
SubjectPredictor feedbacken
SubjectStability criteriaen
SubjectString stabilityen
Bibliographic CitationN. Bekiaris-Luberis, C. Roncoli and Markos Papageorgiou, "Predictor-based adaptive cruise control design", IEEE Trans. Intell. Transp. Syst., vol. pp, no. 99, pp. 1-15, Dec . 2017. doi:10.1109/TITS.2017.2771501 en

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