Design, implementation, and evaluation of a neural-network-based quadcopter UAV system
In this paper, a quadcopter unmanned aerial vehicle (UAV) system based on neural-network
enhanced dynamic inversion control is proposed for multiple real-world application …
enhanced dynamic inversion control is proposed for multiple real-world application …
Identification and adaptive PID Control of a hexacopter UAV based on neural networks
In this paper, a novel adaptive PID controller for trajectory‐tracking tasks is proposed. It is
implemented in discrete time over a hexacopter, and it takes into consideration the …
implemented in discrete time over a hexacopter, and it takes into consideration the …
Output feedback control of a quadrotor UAV using neural networks
T Dierks, S Jagannathan - IEEE transactions on neural …, 2009 - ieeexplore.ieee.org
In this paper, a new nonlinear controller for a quadrotor unmanned aerial vehicle (UAV) is
proposed using neural networks (NNs) and output feedback. The assumption on the …
proposed using neural networks (NNs) and output feedback. The assumption on the …
Accurate tracking of aggressive quadrotor trajectories using incremental nonlinear dynamic inversion and differential flatness
Autonomous unmanned aerial vehicles (UAVs) that can execute aggressive (ie, high-speed
and high-acceleration) maneuvers have attracted significant attention in the past few years …
and high-acceleration) maneuvers have attracted significant attention in the past few years …
Unmanned aerial vehicles motion control with fuzzy tuning of cascaded-pid gains
One of the main challenges of maneuvering an Unmanned Aerial Vehicle (UAV) to keep a
stabilized flight is dealing with its fast and highly coupled nonlinear dynamics. There are …
stabilized flight is dealing with its fast and highly coupled nonlinear dynamics. There are …
Neural network-based optimal adaptive output feedback control of a helicopter UAV
D Nodland, H Zargarzadeh… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Helicopter unmanned aerial vehicles (UAVs) are widely used for both military and civilian
operations. Because the helicopter UAVs are underactuated nonlinear mechanical systems …
operations. Because the helicopter UAVs are underactuated nonlinear mechanical systems …
Neural network based model predictive control for a quadrotor UAV
A dynamic model that considers both linear and complex nonlinear effects extensively
benefits the model-based controller development. However, predicting a detailed …
benefits the model-based controller development. However, predicting a detailed …
Adaptive sliding mode control for attitude and altitude system of a quadcopter UAV via neural network
In this article, a sliding mode control based on neural networks is proposed for attitude and
altitude system of quadcopter under external disturbances. First, the dynamic model of the …
altitude system of quadcopter under external disturbances. First, the dynamic model of the …
Antisaturation fixed-time attitude tracking control based low-computation learning for uncertain quadrotor UAVs with external disturbances
External disturbances, uncertain parameters, asymmetric saturation input, and high
computational burden can significantly damage the attitude tracking control performance of …
computational burden can significantly damage the attitude tracking control performance of …
Adaptive neural network finite time control for quadrotor UAV with unknown input saturation
Q Xu, Z Wang, Z Zhen - Nonlinear dynamics, 2019 - Springer
This study presents a novel adaptive robust control strategy for the position and attitude
tracking of quadrotor unmanned aerial vehicles (UAVs) in the presence of input saturation …
tracking of quadrotor unmanned aerial vehicles (UAVs) in the presence of input saturation …