Model-free control techniques for Stop & Go systems

Jorge Villagrá; Vicente Milanés; Joshué Pérez; Carlos González

doi:10.1109/ITSC.2010.5625228

Model-free control techniques for Stop & Go systems

Jorge Villagrá^*
, Vicente Milanés
, Joshué Pérez
, Carlos González

^*Corresponding author for this work

UPM-CSIC

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

Abstract

This paper presents a comparison of Stop & Go control algorithms, which deal with car following scenarios in urban environments. Since many vehicle/road interaction factors (road slope, aerodynamic forces) and actuator dynamics are very poorly known, two robust control strategies are proposed: an intelligent PID controller and a fuzzy controller. Both model-free techniques will be implemented and compared in simulation to show their suitability for demanding scenarios.

Original language	English
Title of host publication	13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010
Pages	1899-1904
Number of pages	6
DOIs	https://doi.org/10.1109/ITSC.2010.5625228
Publication status	Published - 2010
Externally published	Yes
Event	13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010 - Funchal, Portugal Duration: 19 Sept 2010 → 22 Sept 2010

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference	13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010
Country/Territory	Portugal
City	Funchal
Period	19/09/10 → 22/09/10

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10.1109/ITSC.2010.5625228

Cite this

@inproceedings{548fe13bbab3422294bf9cd66bdda91f,

title = "Model-free control techniques for Stop \& Go systems",

abstract = "This paper presents a comparison of Stop \& Go control algorithms, which deal with car following scenarios in urban environments. Since many vehicle/road interaction factors (road slope, aerodynamic forces) and actuator dynamics are very poorly known, two robust control strategies are proposed: an intelligent PID controller and a fuzzy controller. Both model-free techniques will be implemented and compared in simulation to show their suitability for demanding scenarios.",

author = "Jorge Villagr{\'a} and Vicente Milan{\'e}s and Joshu{\'e} P{\'e}rez and Carlos Gonz{\'a}lez",

year = "2010",

doi = "10.1109/ITSC.2010.5625228",

language = "English",

isbn = "9781424476572",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

pages = "1899--1904",

booktitle = "13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010",

note = "13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010 ; Conference date: 19-09-2010 Through 22-09-2010",

}

Villagrá, J, Milanés, V, Pérez, J & González, C 2010, Model-free control techniques for Stop & Go systems. in 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010., 5625228, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 1899-1904, 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010, Funchal, Portugal, 19/09/10. https://doi.org/10.1109/ITSC.2010.5625228

Model-free control techniques for Stop & Go systems. / Villagrá, Jorge; Milanés, Vicente; Pérez, Joshué et al.
13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010. 2010. p. 1899-1904 5625228 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Model-free control techniques for Stop & Go systems

AU - Villagrá, Jorge

AU - Milanés, Vicente

AU - Pérez, Joshué

AU - González, Carlos

PY - 2010

Y1 - 2010

N2 - This paper presents a comparison of Stop & Go control algorithms, which deal with car following scenarios in urban environments. Since many vehicle/road interaction factors (road slope, aerodynamic forces) and actuator dynamics are very poorly known, two robust control strategies are proposed: an intelligent PID controller and a fuzzy controller. Both model-free techniques will be implemented and compared in simulation to show their suitability for demanding scenarios.

AB - This paper presents a comparison of Stop & Go control algorithms, which deal with car following scenarios in urban environments. Since many vehicle/road interaction factors (road slope, aerodynamic forces) and actuator dynamics are very poorly known, two robust control strategies are proposed: an intelligent PID controller and a fuzzy controller. Both model-free techniques will be implemented and compared in simulation to show their suitability for demanding scenarios.

UR - https://www.scopus.com/pages/publications/78650475874

U2 - 10.1109/ITSC.2010.5625228

DO - 10.1109/ITSC.2010.5625228

M3 - Conference contribution

AN - SCOPUS:78650475874

SN - 9781424476572

T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 1899

EP - 1904

BT - 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010

T2 - 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010

Y2 - 19 September 2010 through 22 September 2010

ER -

Model-free control techniques for Stop & Go systems

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