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Neural network-based flight control systems: Present and future
As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …
Performance of metaheuristic optimization algorithms based on swarm intelligence in attitude and altitude control of unmanned aerial vehicle for path following
A Altan - 2020 4th international symposium on multidisciplinary …, 2020 - ieeexplore.ieee.org
Nowadays, it is very important for the success of the determined missions or operations that
the Unmanned Aerial Vehicles (UAVs), which are used extensively in the performance of …
the Unmanned Aerial Vehicles (UAVs), which are used extensively in the performance of …
An auto-landing strategy based on pan-tilt based visual servoing for unmanned aerial vehicle in GNSS-denied environments
C Chen, S Chen, G Hu, B Chen, P Chen… - Aerospace Science and …, 2021 - Elsevier
This paper proposes an unmanned aerial vehicle (UAV) rapid autonomous landing strategy
in GNSS-denied environments using pan-tilt based visual servoing (PTBVS) system. First …
in GNSS-denied environments using pan-tilt based visual servoing (PTBVS) system. First …
Adaptive asymptotic tracking control for autonomous underwater vehicles with non-vanishing uncertainties and input saturation
Y Zhang, J Liu, J Yu - Ocean Engineering, 2023 - Elsevier
This article provides an adaptive asymptotic backstep**-based tracking control algorithm
for autonomous underwater vehicles (AUVs) under the situation of non-vanishing …
for autonomous underwater vehicles (AUVs) under the situation of non-vanishing …
Adaptive fixed-time quantized fault-tolerant attitude control for hypersonic reentry vehicle
This paper focuses on the adaptive fixed-time quantized fault-tolerant attitude tracking
problem for hypersonic reentry vehicle (HRV). Due to the strong nonlinearity, tight coupling …
problem for hypersonic reentry vehicle (HRV). Due to the strong nonlinearity, tight coupling …
Automatic landing for carrier-based aircraft under the conditions of deck motion and carrier airwake disturbances
This article studies the automatic landing problem for the carrier-based aircraft in the
presence of deck motion and carrier airwake disturbance. First, an automatic regressive …
presence of deck motion and carrier airwake disturbance. First, an automatic regressive …
A modified adaptive formation of UAV swarm by pigeon flock behavior within local visual field
S Li, X Fang - Aerospace Science and Technology, 2021 - Elsevier
UAV swarm track planning is crucial to ensure the smooth completion of the complex
assigned tasks. UAV formation is of great significance to UAV swarm track planning. At …
assigned tasks. UAV formation is of great significance to UAV swarm track planning. At …
Inverse optimal control for autonomous carrier landing with disturbances
This work addresses the optimal control of carrier landing affected by deck motion and
airwake disturbances. Starting from aircraft dynamics written under an affine form, a novel …
airwake disturbances. Starting from aircraft dynamics written under an affine form, a novel …
Angular acceleration estimation-based incremental nonlinear dynamic inversion for robust flight control
The robustness of the incremental nonlinear dynamic inversion (INDI) technique depends
on the accuracy of the feedback angular accelerations. However, angular accelerations are …
on the accuracy of the feedback angular accelerations. However, angular accelerations are …
Fixed-time attitude control for hypersonic morphing vehicles: A dynamic memory event-triggering approach
H Zhang, P Wang, G Tang, W Bao - Aerospace Science and Technology, 2024 - Elsevier
This paper focuses on achieving fast attitude tracking and resource preservation for
hypersonic morphing vehicles (HMVs) in continuous morphing stages. Firstly, the most …
hypersonic morphing vehicles (HMVs) in continuous morphing stages. Firstly, the most …