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 …

In this paper, a model predictive path following control (MPFC) for holonomic mobile robots
is considered. The MPFC is aimed to control a mobile robot to follow a geometric path …

This paper explores the trajectory tracking control problem for a wheeled mobile robot
(WMR) in an environment with obstacles and unknown disturbances. A fixed-time extended …

For nonlinear (control) systems, extended dynamic mode decomposition (EDMD) is a
popular method to obtain data-driven surrogate models. Its theoretical foundation is the …

Extended Dynamic Mode Decomposition (EDMD) is a popular data-driven method to
approximate the Koopman operator for deterministic and stochastic (control) systems. This …

Most countries have started vaccinating people against COVID-19. However, due to limited
production capacities and logistical challenges it will take months/years until herd immunity …

Abstract We investigate Model Predictive Control (MPC) schemes without stabilizing
constraints or costs for the set-point stabilization of holonomic mobile robots. Herein, we …

While Koopman-based techniques like extended Dynamic Mode Decomposition are
nowadays ubiquitous in the data-driven approximation of dynamical systems, quantitative …

We show that Funnel MPC, a novel model predictive control (MPC) scheme, allows tracking
of smooth reference signals with prescribed performance for nonlinear multi-input …

The model predictive control (MPC) scheme funnel MPC enables output tracking of smooth
reference signals with prescribed error bounds for nonlinear multi-input multi-output systems …