Worst-case performance analysis in l1-norm for an automated heavy vehicle platoon

Gábor Rödönyi, Péter Gáspár, József Bokor, László Palkovics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Based on model set identification and unfalsification, robust performance measured in peak-to-peak gain is analyzed for heterogeneous platoons, inter-vehicle communication delays and actuator uncertainties. The goal is to demonstrate that safe platooning with acceptable performance can be achieved by utilizing the services already available on every commercial heavy truck with automated gearbox. Experimental verification of a three vehicle platoon is also presented.

Original languageEnglish
Title of host publicationInformatics in Control, Automation and Robotics - 9th International Conference, ICINCO 2012, Revised Selected Papers
EditorsJean-Louis Ferrier, Alain Bernard, Oleg Gusikhin, Kurosh Madani
PublisherSpringer Verlag
Pages115-130
Number of pages16
ISBN (Electronic)9783319034997
DOIs
Publication statusPublished - Jan 1 2014
Event9th International Conference on Informatics in Control Automation and Robotics, ICINCO 2012 - Rome, Italy
Duration: Jul 28 2012Jul 31 2012

Publication series

NameLecture Notes in Electrical Engineering
Volume283
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other9th International Conference on Informatics in Control Automation and Robotics, ICINCO 2012
CountryItaly
CityRome
Period7/28/127/31/12

Keywords

  • Peak-to-peak gain
  • Performance unfalsification
  • Vehicle platoons

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Rödönyi, G., Gáspár, P., Bokor, J., & Palkovics, L. (2014). Worst-case performance analysis in l1-norm for an automated heavy vehicle platoon. In J-L. Ferrier, A. Bernard, O. Gusikhin, & K. Madani (Eds.), Informatics in Control, Automation and Robotics - 9th International Conference, ICINCO 2012, Revised Selected Papers (pp. 115-130). (Lecture Notes in Electrical Engineering; Vol. 283). Springer Verlag. https://doi.org/10.1007/978-3-319-03500-0_8