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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.
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Contributor : Joshué Pérez Rastelli Connect in order to contact the contributor
Submitted on : Wednesday, October 3, 2012 - 11:29:51 AM
Last modification on : Thursday, September 9, 2021 - 9:38:04 AM
Long-term archiving on: : Friday, January 4, 2013 - 3:57:26 AM


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  • HAL Id : hal-00738026, version 1


Jorge Villagra, Vicente Milanés, Joshué Pérez Rastelli, Carlos González. Model-free control techniques for Stop & Go systems. 2010 13th International IEEE Annual Conference on Intelligent Transportation Systems, Sep 2010, Madeira Island, Portugal. ⟨hal-00738026⟩



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