Transition optimization for a VTOL tail-sitter UAV
This article focuses on the transition process optimization for a vertical takeoff and landing
(VTOL) tail-sitter unmanned aerial vehicle (UAV). For VTOL UAVs that can fly with either …
(VTOL) tail-sitter unmanned aerial vehicle (UAV). For VTOL UAVs that can fly with either …
Deep reinforcement learning control for aerobatic maneuvering of agile fixed-wing aircraft
Autonomous aerobatic flight has been a challenging control problem for many years. This is
because aerobatic flight requires such highly precise control while operating on the extreme …
because aerobatic flight requires such highly precise control while operating on the extreme …
Adaptive control for a class of switched nonlinear systems with output constraints and quantized input signal
M Lei, W Chen - Journal of the Franklin Institute, 2023 - Elsevier
The adaptive tracking problem for a class of strict-feedback switched nonlinear systems with
output constraints, quantization input, distributed time-varying delays and external …
output constraints, quantization input, distributed time-varying delays and external …
Target tracking strategy using deep deterministic policy gradient
S You, M Diao, L Gao, F Zhang, H Wang - Applied Soft Computing, 2020 - Elsevier
To address the challenge of maintaining high robustness of target tracking in a 3D dynamic
high-altitude scenario, this paper presents a method to formulate continuous strategic …
high-altitude scenario, this paper presents a method to formulate continuous strategic …
Automatic control for aerobatic maneuvering of agile fixed-wing UAVs
The use of unmanned aerial vehicles (UAVs) has become ubiquitous in a broadening range
of applications, including many civilian uses. UAVs are typically categorized into two …
of applications, including many civilian uses. UAVs are typically categorized into two …
Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects
Y Dong, J Ai, J Liu - … Engineers, Part G: Journal of Aerospace …, 2019 - journals.sagepub.com
The Autonomous Air Combat technique has been a lasting research topic for decades.
However, no complete solutions seem to have appeared because of the highly dynamic and …
However, no complete solutions seem to have appeared because of the highly dynamic and …
A new nonlinear lifting line method for aerodynamic analysis and deep learning modeling of small unmanned aerial vehicles
In this work, a computationally efficient and high-precision nonlinear aerodynamic
configuration analysis method is presented for both design optimization and mathematical …
configuration analysis method is presented for both design optimization and mathematical …
Learning motion primitives for planning swift maneuvers of quadrotor
This work proposes a novel, learning-based method to leverage navigation time
performance of unmanned aerial vehicles in dense environments by planning swift …
performance of unmanned aerial vehicles in dense environments by planning swift …
UAV-cooperative penetration dynamic-tracking interceptor method based on DDPG
Y Luo, J Song, K Zhao, Y Liu - Applied Sciences, 2022 - mdpi.com
The multi-UAV system has stronger robustness and better stability in combat. Therefore, the
collaborative penetration of UAVs has been extensively studied in recent years. Compared …
collaborative penetration of UAVs has been extensively studied in recent years. Compared …
Autonomous fixed-wing aerobatics: From theory to flight
Unmanned aerial vehicles (UAVs) are increasingly being proposed for a wide range of
applications. A promising new class of these vehicles, known as agile fixed-wing UAV s, is …
applications. A promising new class of these vehicles, known as agile fixed-wing UAV s, is …