Unmanned aerial vehicles (UAVs) have the potential to make a significant impact in a range
of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous …

This article presents an in‐depth review of path following control strategies that are
applicable to a wide range class of marine, ground, and aerial autonomous robotic vehicles …

We propose a neural network (NN) approach that yields approximate solutions for high-
dimensional optimal control (OC) problems and demonstrate its effectiveness using …

This paper studies the moving path following (MPF) problem for fixed-wing unmanned aerial
vehicle (UAV) under output constraints and wind disturbances. The vehicle is required to …

In this article, a novel adaptive fixed-time fuzzy control algorithm is designed for uncertain
Euler–Lagrange (EL) systems with actuator control input saturation. In contrast to existing …

This article investigates a robust path-following control problem of multiple autonomous
vehicles along an implicit elliptical curve. At the kinematic level, by formulating a novel …

This article proposes an adaptive path-following controller of small fixed-wing unmanned
aerial vehicles (UAVs) in the presence of wind disturbances, which explicitly considers that …

In this paper, we presented an optimization-based control framework for the trajectory
planning and the stable control of multiple non-linear systems, ie, 5-link Biped Robot …

This article proposes a finite‐time disturbance observer‐based modified super‐twisting
algorithm (FDO‐STA) for disturbed high‐order integrator‐chain systems under matched and …

Safe and accurate landing is crucial for Unmanned Aerial Vehicles (UAVs). However, it is a
challenging task, especially when the altitude of the landing target is different from the …