Expert system-based multiagent deep deterministic policy gradient for swarm robot decision making
Z Wang, X Jin, T Zhang, J Li, D Yu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this article, an expert system-based multiagent deep deterministic policy gradient (ESB-
MADDPG) is proposed to realize the decision making for swarm robots. Multiagent deep …
MADDPG) is proposed to realize the decision making for swarm robots. Multiagent deep …
A service-oriented energy efficient resource allocation approach for wireless communications of the tunnel construction
Tunnel construction is a dynamic excavation process that requires a variety of construction
machinery and workers to cooperate according to standard procedures. However, due to …
machinery and workers to cooperate according to standard procedures. However, due to …
Simultaneous DC railway power system analysis method using model-based TPS
H Cho, J Kim, H Jung, H Kim - Applied Sciences, 2022 - mdpi.com
This paper focuses on the development of a model-based train performance simulation with
the practical train operation data using MATLAB Simulink. The developed program uses …
the practical train operation data using MATLAB Simulink. The developed program uses …
A fast-solved model for energy-efficient train control based on convex optimization
M Feng, K Wu, S Lu - arXiv preprint arXiv:2201.10731, 2022 - arxiv.org
In modern rail transportation, energy-efficient train control (EETC) is concerned with the
optimal train speed trajectory or control strategies to achieve the minimum energy cost under …
optimal train speed trajectory or control strategies to achieve the minimum energy cost under …
A Novel Block Storage Model for Consortium Blockchains
PY Zhang, ZJ Liu, MC Zhou - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The storage overhead of blocks and storage load of nodes are increasing as consortium
blockchains grow. The existing storage models consider either low-reliability issues or high …
blockchains grow. The existing storage models consider either low-reliability issues or high …