Application of robotics in onshore oil and gas industry—A review Part I
With ever increasing global demand and depleting resources for fossil fuels, oil and gas
industry is now positively looking for advanced robotic solutions to increase their productivity …
industry is now positively looking for advanced robotic solutions to increase their productivity …
Neural network-based flight control systems: Present and future
As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …
Dynamic surface control using neural networks for a class of uncertain nonlinear systems with input saturation
In this paper, a dynamic surface control (DSC) scheme is proposed for a class of uncertain
strict-feedback nonlinear systems in the presence of input saturation and unknown external …
strict-feedback nonlinear systems in the presence of input saturation and unknown external …
Deep reinforcement learning attitude control of fixed-wing uavs using proximal policy optimization
Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in
their flight envelope as compared to experienced human pilots, thereby restricting the …
their flight envelope as compared to experienced human pilots, thereby restricting the …
Nonlinear flight control design using constrained adaptive backstepping
L Sonneveldt, QP Chu, JA Mulder - Journal of Guidance, Control, and …, 2007 - arc.aiaa.org
OVER the last few decades and pushed by developments in aircraft technology, the
performance requirements on modern fighter aircraft became more and more challenging …
performance requirements on modern fighter aircraft became more and more challenging …
A survey of autonomous landing techniques for UAVs
Landing an aerial vehicle is a very challenging problem. Pilots spend numerous hours
practicing touchdowns because of the risk involved during landing phase. Developing …
practicing touchdowns because of the risk involved during landing phase. Developing …
Geometric adaptive control with neural networks for a quadrotor in wind fields
M Bisheban, T Lee - IEEE Transactions on Control Systems …, 2020 - ieeexplore.ieee.org
This article presents a geometric adaptive controller for a quadrotor unmanned aerial
vehicle with artificial neural networks. It is assumed that the dynamics of a quadrotor is …
vehicle with artificial neural networks. It is assumed that the dynamics of a quadrotor is …
[HTML][HTML] Selection and evaluation of FOPID criteria for the X-15 adaptive flight control system (AFCS) via Lyapunov candidates: Optimizing trade-offs and critical values …
N Basil, HM Marhoon - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
Recently, there has been a growing interest among academics worldwide in studying flight
control systems. The advancement of tracking technologies, such as the X-15 adaptive flight …
control systems. The advancement of tracking technologies, such as the X-15 adaptive flight …
Flight control of a rotary wing UAV using backstepping
This paper presents a novel application of backstepping controller for autonomous landing
of a rotary wing UAV (RUAV). This application, which holds good for the full flight envelope …
of a rotary wing UAV (RUAV). This application, which holds good for the full flight envelope …
Robust adaptive neural network control for PEM fuel cell
This paper presents a robust neural network adaptive control for polymer electrolyte
membrane (PEM) fuel cells (FCs). Since deviations between the partial pressure of …
membrane (PEM) fuel cells (FCs). Since deviations between the partial pressure of …