Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction

X Wang, Y Wang, X Su, L Wang, C Lu, H Peng… - Artificial Intelligence …, 2024 - Springer
Nowadays, various innovative air combat paradigms that rely on unmanned aerial vehicles
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …

Dynamic reliability of mechanism based on direct probability integral method

H Peng, F Sun, F Wu, D Yang - International Journal of Mechanical …, 2024 - Elsevier
Reliability of mechanism systems is very important. However, actual engineering machinery
systems are affected by various random factors, such as limited manufacturing accuracy …

A centralized task allocation algorithm for a multi-robot inspection mission with sensing specifications

H Chakraa, E Leclercq, F Guérin, D Lefebvre - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, considerable attention has focused on enhancing the security and safety of
industries with high-risk level activities in order to protect the equipment and environment. In …

Research on multi-UAV formation and semi-physical simulation with virtual structure

J Guo, Z Liu, Y Song, C Yang, C Liang - IEEE Access, 2023 - ieeexplore.ieee.org
In a highly challenging environment, it is difficult to ensure effective information exchange
between UAVs due to disruptions and limitations in communication. Aiming at the problem of …

A warm-started trajectory planner for fixed-wing unmanned aerial vehicle formation

X Li, L Wang, H Wang, L Tao, X Wang - Applied Mathematical Modelling, 2023 - Elsevier
In this paper, an optimal control-based method with efficient warm-start is proposed to solve
the trajectory planning problem for fixed-wing unmanned aerial vehicle formations. We first …

Adaptive decision-making with deep Q-network for heterogeneous unmanned aerial vehicle swarms in dynamic environments

W Su, M Gao, X Gao, X Zhu, D Fang - Computers and Electrical …, 2024 - Elsevier
With the continuous advancement of Unmanned Aerial Vehicle (UAV) swarm technology,
the field of adaptive decision-making for heterogeneous UAV swarms across a spectrum of …

Multi‐UAV Cooperative Air Combat Target Assignment Method Based on VNS‐IBPSO in Complex Dynamic Environment

Y Li, W Chen, S Liu, G Yang… - International Journal of …, 2024 - Wiley Online Library
This paper investigates the threat assessment method and target assignment algorithm in
multi‐UAV cooperative air combat decision‐making. To address the uncertainty and …

Toward uav path planning problem optimization considering the internet of Drones

JV Shirabayashi, LB Ruiz - IEEE Access, 2023 - ieeexplore.ieee.org
The use of Unmanned Aerial Vehicles (UAVs) has become popular in recent years,
especially for their potential in various practical applications, but for their use to become a …

An iterated greedy heuristic for collaborative human-uav search of missing tourists

Y Xu, X Li, X Meng, W Zhang - Knowledge-Based Systems, 2024 - Elsevier
This paper investigates a problem of collaborative human-unmanned aerial vehicle (UAV)
search for missing tourists. A mathematical model including detection stage and rescue …

[HTML][HTML] Comparison of multiple models in decentralized target estimation by a uav swarm

FF Lizzio, M Bugaj, J Rostáš, S Primatesta - Drones, 2023 - mdpi.com
The decentralized estimation and tracking of a mobile target performed by a group of
unmanned aerial vehicles (UAVs) is studied in this work. A flocking protocol is used for …