Recent advances in unmanned aerial vehicles: a review

F Ahmed, JC Mohanta, A Keshari, PS Yadav - Arabian Journal for Science …, 2022 - Springer
In recent decades, aerial robots especially small UAVs and drones have witnessed
tremendous improvements in terms of their structure, working methodology, flying features …

Modeling and trajectory tracking control for flapping-wing micro aerial vehicles

W He, X Mu, L Zhang, Y Zou - IEEE/CAA Journal of Automatica …, 2020 - ieeexplore.ieee.org
This paper studies the trajectory tracking problem of flapping-wing micro aerial vehicles
(FWMAVs) in the longitudinal plane. First of all, the kinematics and dynamics of the FWMAV …

An all servo-driven bird-like flapping-wing aerial robot capable of autonomous flight

H Huang, W He, J Wang, L Zhang… - IEEE/ASME transactions …, 2022 - ieeexplore.ieee.org
Almost all flying creatures, from centimeter-scale insects to meter-scale birds, maneuver
through flapping-wing propulsion. Development of flapping-wing robots capable of long …

Trajectory tracking control for a three-dimensional flexible wing

W He, X Tang, T Wang, Z Liu - IEEE Transactions on Control …, 2022 - ieeexplore.ieee.org
This brief mainly considers trajectory tracking and vibration suppression for a 3-D flexible
wing. The dynamical model of the flexible wing is regarded as a distributed parameter …

Observer-based adaptive optimized control for stochastic nonlinear systems with input and state constraints

Y Li, J Zhang, W Liu, S Tong - IEEE transactions on neural …, 2021 - ieeexplore.ieee.org
In this work, an adaptive neural network (NN) optimized output-feedback control problem is
studied for a class of stochastic nonlinear systems with unknown nonlinear dynamics, input …

Adaptive neural-network boundary control for a flexible manipulator with input constraints and model uncertainties

Y Ren, Z Zhao, C Zhang, Q Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article develops an adaptive neural-network (NN) boundary control scheme for a
flexible manipulator subject to input constraints, model uncertainties, and external …

The emerging drone technology and the advancement of the Indian drone business industry

SR Edulakanti, S Ganguly - The Journal of High Technology Management …, 2023 - Elsevier
Undoubtedly, the drone industry is one of the fastest-growing industries in the world today.
There is unlimited potential for Drone technology with continued growth and investment …

Adaptive neural network control of a flexible spacecraft subject to input nonlinearity and asymmetric output constraint

Y Liu, X Chen, Y Wu, H Cai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article focuses on the vibration reducing and angle tracking problems of a flexible
unmanned spacecraft system subject to input nonlinearity, asymmetric output constraint, and …

Adaptive nonsingular predefined-time control for attitude stabilization of rigid spacecrafts

S Xie, Q Chen - IEEE Transactions on Circuits and Systems II …, 2021 - ieeexplore.ieee.org
This article proposes a novel adaptive nonsingular predefined-time control strategy for rigid
spacecrafts with inertia uncertainties. Following the backstepping recursive design …

Extended-state-observer-based adaptive prescribed performance control for hydraulic systems with full-state constraints

Z Xu, W Deng, H Shen, J Yao - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
In this article, an innovative backstepping controller for hydraulic systems is proposed to
handle system uncertainties and accomplish specified performance tracking without …