SC Yogi, VK Tripathi, L Behera - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
This article proposes an adaptive integral sliding mode control (ISMC) strategy for quadrotor control that ensures faster and finite-time convergence along with chattering attenuation …
Quadcopter unmanned aerial vehicles (UAVs) systems are receiving remarkable attention from researchers due to their daily use in numerous applications, particularly at the current …
X Wu, B Xiao, Y Qu - ISA transactions, 2022 - Elsevier
In the practical applications, the mass of a quadrotor unmanned aerial vehicle (UAV) would be time-varying. This time-varying mass will deteriorate the control performance of UAV. To …
J Sanwale, S Dahiya, P Trivedi, M Kothari - Control Engineering Practice, 2023 - Elsevier
In this paper, the dynamics modeling of coaxial octorotor UAVs is described taking into account the majority of uncertain factors such as actuator faults, parametric deviations, and …
Z Li, X Ma, Y Li - Neurocomputing, 2019 - Elsevier
This paper proposes a robust hierarchical controller using adaptive radical basis function neural networks (RBFNNs) based proportional derivative-sliding mode control (RPD-SMC) …
Nowadays, quadcopter unmanned aerial vehicles play important roles in several real-world applications and the improvement of their control performance has become an increasingly …
In this paper, an Adaptive Fuzzy Backstepping Control (AFBC) approach with state observer is developed. This approach is used to overcome the problem of trajectory tracking for a …
Most of the mechanical dynamic systems are subjected to parametric uncertainty, unmodeled dynamics, and undesired external vibrating disturbances while are motion …
The quadcopter unmanned aerial vehicle (UAV) system is considered a good platform for control scheme design as it is highly nonlinear with coupled dynamics and an under …