Event-triggered model predictive control with deep reinforcement learning for autonomous driving
Event-triggered model predictive control (eMPC) is a popular optimal control method with an
aim to alleviate the computation and/or communication burden of MPC. However, it …
aim to alleviate the computation and/or communication burden of MPC. However, it …
[HTML][HTML] A Review on Reinforcement Learning-based Highway Autonomous Vehicle Control
Autonomous driving is an active area of research in artificial intelligence and robotics.
Recent advances in deep reinforcement learning (DRL) show promise for training …
Recent advances in deep reinforcement learning (DRL) show promise for training …
Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems
J Püttschneider, J Golembiewski, NA Wagner… - arXiv preprint arXiv …, 2024 - arxiv.org
Networked control systems enable real-time control and coordination of distributed systems,
leveraging the low latency, high reliability, and massive connectivity offered by 5G and future …
leveraging the low latency, high reliability, and massive connectivity offered by 5G and future …
Comparison of Two-Wheel and Four-Wheel Steering Using Event-Triggered Predictive Motion Control and Scale Vehicles
This study compares the trajectory tracking performance of two-and four-wheel steering
systems, especially under normal driving conditions. Specifically, the lateral motion is …
systems, especially under normal driving conditions. Specifically, the lateral motion is …
Comparison of Two-Wheel and Four-Wheel Steering Using Event-Triggered Predictive Motion Control and Scale Vehicles
C Rother, J Chen - 2024 - asmedigitalcollection.asme.org
This study compares the trajectory tracking performance of two-and four-wheel steering
systems, especially under normal driving conditions. Specifically, the lateral motion is …
systems, especially under normal driving conditions. Specifically, the lateral motion is …
RL-MPC: Reinforcement Learning Aided Model Predictive Controller for Autonomous Vehicle Lateral Control
This paper presents a nonlinear model predictive controller (NMPC) coupled with a pre-
trained reinforcement learning (RL) model that can be applied to lateral control tasks for …
trained reinforcement learning (RL) model that can be applied to lateral control tasks for …
[PDF][PDF] Green Energy and Intelligent Transportation
A Irshayyid, J Chen, G Xiong - researchgate.net
Autonomous driving is an active area of research in artificial intelligence and robotics.
Recent advances in deep reinforcement learning (DRL) show promise for training …
Recent advances in deep reinforcement learning (DRL) show promise for training …