Model predictive control is a form of control in which the current control action is obtained by
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …

We survey the recent work on micro unmanned aerial vehicles (UAVs), a fast-growing field
in robotics, outlining the opportunities for research and applications, along with the scientific …

The control problem was formulated in the previous chapters considering all signals to
possess an unlimited range. This is not very realistic because in practice all processes are …

While linear model predictive control is popular since the 70s of the past century, the 90s
have witnessed a steadily increasing attention from control theoretists as well as control …

This book provides a comprehensive treatment of the principles underlying optimal
constrained control and estimation. The contents progress from optimisation theory, fixed …

Abstract In recent years, Economic Model Predictive Control (EMPC) has received
considerable attention of many research groups. The present tutorial survey summarizes …

Abstract─ While linear model predictive control is popular since the 70s of the past century,
only since the 90s there is a steadily increasing interest from control theoreticians as well as …

The purpose of this paper is twofold. In the first part, we give a review on the current state of
nonlinear model predictive control (NMPC). After a brief presentation of the basic principle of …

In this work we consider the problem of controlling a team of micro-aerial vehicles moving
quickly through a three-dimensional environment while maintaining a tight formation. The …

The usual way to guarantee stability of model predictive control (MPC) strategies is based
on a terminal cost function and a terminal constraint region. This note analyzes the stability …