We discuss implementation related aspects of model predictive control schemes on embedded platforms. Exemplarily, we focus on fast gradient methods and present results from an implementation on a ...

Stochastic Model Predictive Control (SMPC) for linear systems is an advanced control framework that blends systematic optimisation with probabilistic forecasting. By explicitly accounting for ...

In this paper a cooperative adaptive cruise control approach using stochastic, linear model predictive control strategies is presented. The presented approach deals with an urban traffic environment ...

Non-linear evolutionary model predictive control (NEMPC) was developed as a real-time control algorithm for high degree of freedom (DoF) robot platforms. A variant of model predictive control (MPC), ...

The release of the NI LabVIEW 8.5 control design and simulation module adds features that help to analyze open-loop model behavior, design closed-loop controllers, simulate systems, and create ...

ANDERS WARNE, GÜNTER COENEN, KAI CHRISTOFFEL, MARGINALIZED PREDICTIVE LIKELIHOOD COMPARISONS OF LINEAR GAUSSIAN STATE-SPACE MODELS WITH APPLICATIONS TO DSGE, DSGE-VAR, AND VAR MODELS, Journal of ...