Results 61 to 70 of about 7,913,475 (210)
Artificial Intelligence for Engineering, EarlyView.We present a three‐stage training framework combining Behaviour Cloning warm‐starting with auxiliary‐regularised Deep Reinforcement Learning PPO fine‐tuning for 2D drone waypoint navigation under stochastic wind. Persistent imitation regularisation prevents catastrophic forgetting, achieving robust generalisation to unseen targets and out‐of ...
Ahmet Bilgehan Serçe, Necati Aksoy
wiley +1 more source
A Survey of Control Methods for Quadrotor UAV
International Journal of Robotics and Control Systems, 2022 Flight control design of unmanned aerial vehicles UAVs is becoming increasingly important due to advances in computational power of computers with lower cost. The control algorithms are mainly employed for the attitude and position control of the UAVs. In the past decades, quadrotors have become the most popular UAVs, their adaptability and small size.
Muhammad Maaruf +2 more
openaire +1 more source
DronesThis paper investigates secure self-triggered time-varying formation control for quadrotor swarm systems against sequential multi-link scaling attacks, which can be implemented in a self-triggered and fully distributed manner. Firstly, based on the outer-
Miao Zhao +4 more
doaj +1 more source
High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation
Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger +3 more
wiley +1 more source
Integrating Backstepping Control of Outdoor Quadrotor UAVs
Periodica Polytechnica Electrical Engineering and Computer Science, 2019 In this paper an improved approach is presented for integrating backstepping control of outdoor quadrotor UAVs. The controller uses the approximated nonlinear dynamic model, while for simulation or test purposes the quadrotor can be modeled either with the precise or the simplified model.
Zsófia Bodó, Béla Lantos
openaire +3 more sources
Lyapunov based trajectory tracking controller for a quadrotor UAV with nonholonomic constraints
e-Prime: Advances in Electrical Engineering, Electronics and EnergyThis paper presents a Lyapunov based controller for a quadrotor Unmanned Aerial Vehicle (UAV) to address the desired trajectory tracking problem. The controller is designed based on the dynamical model of the quadrotor UAV.
Arindam Singha +2 more
doaj +1 more source
International Journal of Robust and Nonlinear Control, Volume 36, Issue 8, Page 4717-4728, 25 May 2026.ABSTRACT A newly developed robust control strategy based on an adaptive neural network (ANN) estimator performed in concert with adaptive super‐twisting (ASTW) control is presented. The proposed adaptive robust control algorithm is applied to a class of perturbed nonlinear systems and features a significantly decreased control gain with respect to the ...
Mohammad Javad Mirzaei +3 more
wiley +1 more source
Research on Route Tracking Controller of Quadrotor UAV Based on Fuzzy Logic and RBF Neural Network
IEEE Access, 2023 A proportional integral differential (PID) trajectory tracking control strategy based on fuzzy logic and RBF neural network is proposed for the trajectory stability tracking control of the quadrotor unmanned aerial vehicle (UAV) control system.
Kejin Jia +4 more
doaj +1 more source
Non-singular predefined time sliding mode control for quadrotor UAV with actuator fault
Measurement + ControlAiming at the problems of unknown disturbances and actuator failures during the flight of quadrotor unmanned aerial vehicle (UAV), a non-singular predefined time sliding mode controller is designed for quadrotor UAV with actuator failures.
Jingxin Dou +3 more
doaj +1 more source
Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems
Asian Journal of Control, Volume 28, Issue 3, Page 1073-1085, May 2026.Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal +2 more
wiley +1 more source