A Novel Data-Driven Modeling and Control Design Method for Autonomous Vehicles
نویسندگان
چکیده
This paper presents a novel modeling method for the control design of autonomous vehicle systems. The goal is to provide control-oriented model in predefined Linear Parameter Varying (LPV) structure. scheduling variables LPV through machine-learning-based methods using big dataset are selected. Moreover, parameters an optimization algorithm computed, with which accurate fitting on achieved. proposed illustrated nonlinear lateral dynamics. resulting LPV-based used path following functionality vehicles. effectiveness and comprehensive simulation examples based high-fidelity software illustrated.
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ژورنال
عنوان ژورنال: Energies
سال: 2021
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en14020517