Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It
requires handling a high level of nonlinearity and dynamics. Model-free control effectively …

The paper introduces an interactive machine learning mechanism to process the
measurements of an uncertain, nonlinear dynamic process and hence advise an actuation …

The autonomous landing of an unmanned aerial vehicle (UAV) on a moving platform is an
essential functionality in various UAV-based applications. It can be added to a teleoperation …

Multirotor UAVs are used for a wide spectrum of civilian and public domain applications.
Their navigation controllers include onboard sensor suites that facilitate safe, autonomous or …

In this article, we propose a model-free adaptive learning solution for a model-following
control problem. This approach employs policy iteration, to find an optimal adaptive control …

Drone target tracking, which involves instructing drone movement to follow a moving target,
encounters several challenges:(1) traditional methods need accurate state estimation of …

Autonomous capture of an unknown non-cooperative aerial target is a complex task
requiring real-time target localization, trajectory prediction and control. The current work …

Model-reference adaptive systems refer to a consortium of techniques that guide plants to
track desired reference trajectories. Approaches based on theories like Lyapunov, sliding …

The goal of this dissertation research is to demonstrate the integration of targeting,
guidance, navigation, and control (TGNC) functions for real-time implementation onboard …

This paper delves into the problem of tracking an unknown maneuvering target using only
monocular visual feedback. It is usually difficult to perform target tracking using only …