Accurate trajectory-tracking control for quadrotors is essential for safe navigation in cluttered
environments. However, this is challenging in agile flights due to nonlinear dynamics …

This paper introduces HPIPM, a high-performance framework for quadratic programming
(QP), designed to provide building blocks to efficiently and reliably solve model predictive …

Over the last decades, model predictive control (MPC) has shown outstanding performance
for control tasks from various domains. This performance has further improved in recent …

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 motion cueing algorithm (MCA) is the main algorithm in motion simulators in charge of
generating vehicle motions within the platform's constraints. The classical washout filter is …

This paper reviews the application of distributed model predictive control (DMPC) for
autonomous intelligent systems (AIS) with unmanned aerial vehicles (UAVs) and vehicle …

Nonlinear model predictive control has been used in motion cueing algorithms recently to
consider the nonlinear dynamics model of the system. The entire motion cueing algorithm …

This letter presents a perception-aware and motor-level non-linear model predictive control
scheme for multi-rotor aerial vehicles. Our formulation considers both real actuation …

In recent years the increasing needs of reducing the costs of car development expressed by
the automotive market have determined a rapid development of virtual driver prototy** …

Move blocking (MB) is a widely used strategy to reduce the degrees of freedom (DoFs) of the
optimal control problem (OCP) arising in receding horizon control. The size of the OCP is …