This article provides an overview of model predictive control (MPC) frameworks for dynamic
operation of nonlinear constrained systems. Dynamic operation is often an integral part of …

We consider the problem of optimal trajectory tracking for unknown systems. A novel data-
enabled predictive control (DeePC) algorithm is presented that computes optimal and safe …

In this chapter, we introduce the nonlinear model predictive control algorithm in a rigorous
way. We start by defining a basic NMPC algorithm for constant reference and continue by …

Turnpike properties have been established long time ago in finite-dimensional optimal
control problems arising in econometry. They refer to the fact that, under quite general …

In this paper we investigate stability and recursive feasibility of a nonlinear receding horizon
control scheme without terminal constraints and costs but imposing state and control …

This paper studies the trajectory tracking control for the nonholonomic wheeled mobile robot
(WMR) based on model predictive control (MPC). Concerning overcome stable problem …

In this paper, we propose, discuss, and validate an online Nonlinear Model Predictive
Control (NMPC) method for multi-rotor aerial systems with arbitrarily positioned and oriented …

The problem of steering a nonholonomic mobile robot to a desired position and orientation
is considered. In this paper, a model predictive control (MPC) scheme based on tailored …

Animals traverse vegetation by direct physical interaction using their entire body to push
aside and slide along compliant obstacles. Current drones lack this interaction versatility that …

We investigate the exponential turnpike property for finite horizon undiscounted discrete
time optimal control problems without any terminal constraints. Considering a class of strictly …