Results 41 to 50 of about 1,488,241 (284)

Recurrent Neural Network-Based Model Predictive Control for Multiple Unmanned Quadrotor Formation Flight

International Journal of Aerospace Engineering, 2019
This paper presents a dynamical recurrent neural network- (RNN-) based model predictive control (MPC) structure for the formation flight of multiple unmanned quadrotors.
Boyang Zhang, Xiuxia Sun, Shuguang Liu, Xiongfeng Deng   +3 more
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Vision based strategies for implementing Sense and Avoid capabilities onboard Unmanned Aerial Systems [PDF]

, 2011
Current research activities are worked out to develop fully autonomous unmanned platform systems, provided with Sense and Avoid technologies in order to achieve the access to the National Airspace System (NAS), flying with manned airplanes.
Forlenza, Lidia
core   +1 more source

A Three-Branch Time-Frequency Feature Fusion Method Based on Terahertz Signals for Identifying Delamination Defects in Composite Materials

Sensors
Composite materials are critical components in advanced equipment such as aerospace, however, delamination defects that readily arise during manufacturing and in service present serious risks to equipment safety.
Shengkai Yan, Jianguo Gao, Qiang Wang, Qiuhan Liu, Jiayang Yu, Jiajin Li, Gaocheng Chen   +6 more
doaj   +1 more source

AI‐Enabled RGB Light‐to‐Frequency Sensor for Nondestructive Salinity Stress Monitoring in Medicinal Plants

Advanced Intelligent Systems, EarlyView.
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad, Vinie Lee Silva‐Alvarado, Arman Heydari, Sandra Sendra, Jaime Lloret   +4 more
wiley   +1 more source

A Study on the Vulnerability of Multilayer Subway Networks Based on the SPM and DQN

Applied Sciences
To address the escalating vulnerability of metro systems under multiple perturbations—including extreme rainfall, equipment failures, and passenger surges—this study tackles several limitations in existing research: the predominant focus on single-layer ...
Chen Yang, Lei Zhang, Liang You, Wenjie Tian, Chuhan Ma, Bowu Wei   +5 more
doaj   +1 more source

Autonomous Charging and Battery Swapping for Unmanned Aerial Vehicles: A Review

Advanced Intelligent Systems, EarlyView.
This review evaluates major autonomous charging and battery swapping methods for unmanned aerial vehicles (UAVs) against a single question: how close each is to sustained unattended operation. Rather than ranking them by charging performance, it identifies the limitation that most restricts each method, and briefly outlines the supporting technologies ...
Zelin Wu, Yuanwen Zhang, Xiangdong Meng, Guangyu Zhang, Huiwen Zhang, Yuquan Leng   +5 more
wiley   +1 more source

Performance Evaluation of Super‐Resolution Techniques for Characterization and Phenotyping of Commodity Crops Using Multispectral Imagery

Advanced Intelligent Systems, EarlyView.
This study assesses the suitability and performance of single‐image super‐resolution methods when applied directly, and without any fine‐tuning, to multispectral images of maize and sunflower crops. It evaluates not only super‐resolution performance, but also the preservation of spectral integrity and vegetation‐index reliability. Multispectral imagery
Abhiram Karukayil, João F. C. Mota, Mateo Vásquez‐Guevara, Tito Arevalo‐Ramirez, Fernando Auat Cheein   +4 more
wiley   +1 more source

Cooperative Task Planning of Heterogeneous Unmanned Aerial Vehicle Formations Driven by a Multi-Objective Dolphin Echolocation Optimization Algorithm

Drones
In the task planning of heterogeneous unmanned aerial vehicle formations, problems such as dynamic topological instability and sparse Pareto front exist, which affect the robustness of the planning. To address this, this paper proposes a cooperative task
Chengyuan Pang, Zongpu Li, Le Ru, Fan Sun, Jiaxu Chen   +4 more
doaj   +1 more source

Public Perception of Unmanned Aerial Vehicles [PDF]

, 2011
This study explored public risk perception of unmanned aerial vehicles (UAV) for civilian commercial operations, including cargo and passenger transportation.
Tam, Alice
core