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The Ethereal
Autonomous Racing using Learning Model Predictive Control
October 20, 2016 ยท Declared Dead ยท ๐ American Control Conference
"No code URL or promise found in abstract"
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Authors
Ugo Rosolia, Ashwin Carvalho, Francesco Borrelli
arXiv ID
1610.06534
Category
cs.LG: Machine Learning
Cross-listed
math.OC
Citations
121
Venue
American Control Conference
Last Checked
4 months ago
Abstract
A novel learning Model Predictive Control technique is applied to the autonomous racing problem. The goal of the controller is to minimize the time to complete a lap. The proposed control strategy uses the data from previous laps to improve its performance while satisfying safety requirements. Moreover, a system identification technique is proposed to estimate the vehicle dynamics. Simulation results with the high fidelity simulator software CarSim show the effectiveness of the proposed control scheme.
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