Performance Analysis of Deep Neural Network Controller for Autonomous Driving Learning from a Nonlinear Model Predictive Control Method

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...

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Bibliographic Details
Main Authors: Taekgyu Lee, Yeonsik Kang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
data-driven control
model predictive control
artificial neural network
autonomous driving
deep neural network control
artificial intelligence
Online Access:https://www.mdpi.com/2079-9292/10/7/767

Internet

https://www.mdpi.com/2079-9292/10/7/767

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