The paper provides a reasonably accessible and self-contained tutorial exposition on model predictive control (MPC). It is aimed at readers with control expertise, particularly practitioners, who wish ...

Model Predictive Control has been a long-standing subject of research and has found practical application across various domains. Nevertheless, a prevalent issue with these control strategies that ...

This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) to control a nonlinear system. - GitHub ... -Predictive Control Toolbox™, the ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

Model Predictive Control (MPC), or receding horizon control, aims to maximize an objective function over a planning horizon by leveraging a dynamics model and a planner to select actions. ... In this ...

Passivity based nonlinear model predictive control (PNMPC) of multi-robot systems for space applications. Serdar Kalaycioglu Anton De Ruiter* ... Christofides, P., Scattolini, D., Muñoz de la Peña, D.

The paper provides a reasonably accessible and self-contained tutorial exposition on model predictive control (MPC). It is aimed at readers with control expertise, particularly practitioners, who wish ...