Position and attitude control of multi-rotor aerial vehicles: A survey
TP Nascimento, M Saska - Annual Reviews in Control, 2019 - Elsevier
Motion control theory applied to multi-rotor aerial vehicles (MAVs) has gained attention with
the recent increase in the processing power of computers, which are now able to perform the …
the recent increase in the processing power of computers, which are now able to perform the …
A review on comparative remarks, performance evaluation and improvement strategies of quadrotor controllers
The quadrotor is an ideal platform for testing control strategies because of its non-linearity
and under-actuated configuration, allowing researchers to evaluate and verify control …
and under-actuated configuration, allowing researchers to evaluate and verify control …
Robust adaptive nonsingular fast terminal sliding-mode tracking control for an uncertain quadrotor UAV subjected to disturbances
M Labbadi, M Cherkaoui - ISA transactions, 2020 - Elsevier
This paper investigates the design of a robust controller for the trajectory tracking problem of
an under-actuated quadrotor UAV subject to the modeling uncertainties and unknown …
an under-actuated quadrotor UAV subject to the modeling uncertainties and unknown …
Spatial–temporal complex graph convolution network for traffic flow prediction
Traffic flow prediction remains an ongoing hot topic in the field of Intelligent Transportation
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …
Neuroadaptive integral robust control of visual quadrotor for tracking a moving object
X Shao, N Liu, Z Wang, W Zhang, W Yang - Mechanical Systems and …, 2020 - Elsevier
This paper aims to achieve the visual quadrotor tracking for ground moving target in the
presence of various uncertainties. In order to provide a stable quadrotor motion, the …
presence of various uncertainties. In order to provide a stable quadrotor motion, the …
An indirect type-2 fuzzy neural network optimized by the grasshopper algorithm for vehicle ABS controller
Model nonlinearity, structured and unstructured uncertainties as well as external
disturbances are some of the most important challenges in controlling the wheel slip in …
disturbances are some of the most important challenges in controlling the wheel slip in …
[HTML][HTML] Adaptive trajectory tracking control for quadrotors with disturbances by using generalized regression neural networks
In this document, the development and experimental validation of a nonlinear controller with
an adaptive disturbance compensation system applied on a quadrotor are presented. The …
an adaptive disturbance compensation system applied on a quadrotor are presented. The …
Robust predictive visual servoing control for an inertially stabilized platform with uncertain kinematics
In this paper, a disturbance observer (DOB) based predictive control approach is developed
for the image-based visual servoing of an inertially stabilized platform (ISP). As the limitation …
for the image-based visual servoing of an inertially stabilized platform (ISP). As the limitation …
The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection
YP Zhao, W Cai - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Aeroengine fault detection is an important means to ensure flight safety. The application
premise of data driven fault detection method is that all data come from the same …
premise of data driven fault detection method is that all data come from the same …
Controlling wheeled mobile robot considering the effects of uncertainty with neuro-fuzzy cognitive map
In this paper, we present neuro-fuzzy cognitive map (NFCM) to control a non-holonomic
wheeled mobile robot, for both the kinematic control and the dynamic control. For this …
wheeled mobile robot, for both the kinematic control and the dynamic control. For this …