This paper provides a broad perspective and analysis of the work done in control of hybrid
and convertible unmanned aerial vehicles (UAVs) for the main existing designs. These flying …

A key assumption in the development of system identification and adaptive control schemes
is the availability of a regression model which is linear in the unknown parameters (of the …

With the rapid development of computer technology, automatic control technology and
communication technology, research on unmanned aerial vehicles (UAVs) has attracted …

Autopilot systems are typically composed of an “inner loop” providing stability and control,
whereas an “outer loop” is responsible for mission-level objectives, such as way-point …

To effectively control complex dynamical systems, accurate nonlinear models are typically
needed. However, these models are not always known. In this paper, we present a data …

The design of output constrained control system for unmanned aerial vehicles deployed in
confined areas is an important issue in practice and not taken into account in many autopilot …

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 …

While adaptive control has been used in numerous applications to achieve system
performance without excessive reliance on dynamical system models, the necessity of high …

This paper is concerned with the cooperative path maneuvering of multiple underactuated
autonomous surface vehicles (ASVs) moving along a parameterized path. Each vehicle is …

This paper presents a multirotor control architecture, where Model Predictive Path Integral
Control (MPPI) and ℒ 1 adaptive control are combined to achieve both fast model predictive …