Performance Analysis of Deep Neural Network Controller for Autonomous Driving Learning from a Nonlinear Model Predictive Control Method
Nonlinear model predictive control (NMPC) is based on a numerical optimization method considering the target system dynamics as constraints. This optimization process requires large amount of computation power and the computation time is often unpredictable which may cause the control update rate to...
Main Authors: | Taekgyu Lee, Yeonsik Kang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/7/767 |
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