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Youla-Kucera Based Online Closed-Loop Identification For Longitudinal Vehicle Dynamics

Abstract : This paper deals with the identification of longitudinal dynamics of a cycab for subsequent control performance's improvement. Low-speed vehicle dynamic is used as physical model which non-linear behavior is highly complex to properly identify. Among several identification techniques, closed-loop identification gives better performance in a model-based control design. Here, the Hansen scheme is used to transform a closed-loop identification problem in an open-loop-like. The algorihtm is tested in a string of two cycabs equipped with a proportional-derivative-based cooperative adaptive cruise controller, showing how the resulting model is improved in comparison with an open-loop identification algorithm–ARX model.
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Submitted on : Thursday, September 21, 2017 - 7:01:05 PM
Last modification on : Thursday, August 2, 2018 - 12:02:01 PM


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  • HAL Id : hal-01591705, version 1



Francisco Navas, Vicente Milanés, Fawzi Nashashibi. Youla-Kucera Based Online Closed-Loop Identification For Longitudinal Vehicle Dynamics. 21st International Conference on System Theory, Control and Computing, Oct 2017, Sinaia, Romania. ⟨hal-01591705⟩



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