Improved radial basis function artificial neural network and exact-time extended state observer based non-singular rapid terminal sliding-mode control of quadrotor …
Purpose The purpose of this paper is to design a hybrid robust tracking controller based on
an improved radial basis function artificial neural network (IRBFANN) and a novel extended …
an improved radial basis function artificial neural network (IRBFANN) and a novel extended …
Exponential sliding mode control based on a neural network and finite-time disturbance observer for an autonomous aerial vehicle exposed to environmental …
The quadrotor system's nonlinear behaviour, uncertain modelling parameters and the
presence of exogenous disturbances in the surrounding environment make its flight control …
presence of exogenous disturbances in the surrounding environment make its flight control …
Adaptive Neural-Sliding Mode Control of a Quadrotor Vehicle with Uncertainties and Disturbances Compensation
This paper addresses the quadrotor vehicle control problem in the presence of parametric
uncertainties and exogenous disturbances by introducing a finite-time extended disturbance …
uncertainties and exogenous disturbances by introducing a finite-time extended disturbance …
Adaptive-Neural Finite-Time Sliding Mode Control for Quadrotor Helicopter Attitude Stabilization in Complex Environments
M Ullah, G Hongbo, W Chengbo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Achieving attitude stabilization in quadrotor helicopters (qh s) operating in complex
environments, characterized by external disturbances and model uncertainties, presents a …
environments, characterized by external disturbances and model uncertainties, presents a …
Adaptive Sliding Mode Control with an Extended Disturbance Observer for a Quadcopter Unmanned Aerial Vehicle: A Finite-Time Convergent Approach
Robust flight control always plays an important role in the accurate tracking of the desired
path by the quadcopter vehicle. The hybrid strategy used for this purpose proved quite …
path by the quadcopter vehicle. The hybrid strategy used for this purpose proved quite …
Chaos Detection and Mitigation in Swarm of Drones Using Machine Learning Techniques and Chaotic Attractors
N Emmanuel, LS Mistura… - International …, 2022 - search.proquest.com
Most existing identification and tackling of chaos in swarm drone missions focus on single
drone scenarios. There is a need to assess the status of a system with multiple drones …
drone scenarios. There is a need to assess the status of a system with multiple drones …
[PDF][PDF] Chaos Detection and Mitigation in Swarm of Drones using Machine Learning Techniques and Chaotic Attractors
Most existing identification and tackling of chaos in swarm drone missions focus on single
drone scenarios. There is a need to assess the status of a system with multiple drones …
drone scenarios. There is a need to assess the status of a system with multiple drones …