Optimal control: linear quadratic methods
Optimal control: linear quadratic methods
Feedback Control Theory
3D Local Trajectory Planner for UAV
Journal of Intelligent and Robotic Systems
3-D path planning for the navigation of unmanned aerial vehicles by using evolutionary algorithms
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Brief paper: An efficient algorithm for discrete-time H∞ preview control
Automatica (Journal of IFAC)
Journal of Intelligent and Robotic Systems
Robotics and Autonomous Systems
Evolutionary Route Planner for Unmanned Air Vehicles
IEEE Transactions on Robotics
Evolutionary algorithm based offline/online path planner for UAV navigation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper investigates the use of H2 / H? robust controller in tracking trajectories for unmanned aerial vehicles (UAVs). First, it is assumed that the desired trajectory is available by solving the trajectory optimisation problem, which incorporates the mission constraints and the dynamic model of the UAV. Next, a controller is designed using the H2 / H? robust control method to track the reference trajectory online while preserving the mission constraints. The control design process involves two steps: a convenient system identification and systematic robust controller design. Simulation results show effectiveness of the proposed controller in comparison with the optimal preview controller, which has gained more popularity recently in navigation of UAVs to track a reference path, despite wind disturbances and measurement noises.