Aerospace integrated networks innovation for empowering 6G: A survey and future challenges
The ever-increasing demand for ubiquitous and differentiated services at anytime and
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework
The rapid development of shipping trade pushes automated container terminals toward the
direction of intelligence, safety and efficiency. In particular, the formulation of AGV …
direction of intelligence, safety and efficiency. In particular, the formulation of AGV …
Deep reinforcement learning aided variable-frequency triple-phase-shift control for dual-active-bridge converter
To improve the conversion efficiency of the dual-active-bridge converter, this article
demonstrates a variable-frequency triple-phase-shift (TPS) control strategy with the help of …
demonstrates a variable-frequency triple-phase-shift (TPS) control strategy with the help of …
Twin delayed deep deterministic policy gradient (TD3) based virtual inertia control for inverter-interfacing DGs in microgrids
Environmental and energy security concerns lead to the continuous displacement of
traditional fossil fuel-based power generation to power electronics interfaced distributed …
traditional fossil fuel-based power generation to power electronics interfaced distributed …
Energy efficient path planning for autonomous ground vehicles with ackermann steering
H Zhang, Y Zhang, C Liu, Z Zhang - Robotics and Autonomous Systems, 2023 - Elsevier
The autonomous ground vehicles have attracted a great deal of attention as viable solutions
to a wide variety of military and civilian applications. However, the energy consumption …
to a wide variety of military and civilian applications. However, the energy consumption …
Strategic and tactical path planning for urban air mobility: Overview and application to real-world use cases
Urban air mobility requires safe and efficient airspace management, as well as effective path
planning and decision-making capabilities to enable access to the urban airspace, which is …
planning and decision-making capabilities to enable access to the urban airspace, which is …
Path planning for multiple unmanned surface vehicles using Glasius bio-inspired neural network with Hungarian algorithm
P Yao, K Wu, Y Lou - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
In this article, we focus on the cooperative path planning for unmanned surface vehicles
(USVs) composed of single-USV path planning and multi-USVs task assignment. First, the …
(USVs) composed of single-USV path planning and multi-USVs task assignment. First, the …
An Overview of Advancements in Multimotor Drives: Structural Diversity, Advanced Control, Specific Technical Challenges, and Solutions
C Gong, YR Li, NR Zargari - Proceedings of the IEEE, 2024 - ieeexplore.ieee.org
Multimotor drives have become increasingly important in modern industrial applications due
to their ability to provide superior performance, efficiency, and flexibility compared to single …
to their ability to provide superior performance, efficiency, and flexibility compared to single …
Deployment optimization of tethered drone-assisted integrated access and backhaul networks
Millimeter-wave (mmWave) integrated access and backhaul (IAB) has recently received
considerable interest for its advantage in reducing the expenses related to the deployment …
considerable interest for its advantage in reducing the expenses related to the deployment …