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 ...

Wheel slip control with torque blending using linear and nonlinear model predictive control Citation: M Basrah, S. , Siampis, E. , Velenis, E. , Cao, D. , & Longo, S. . (2017). Wheel slip control with ...

Faster, cheaper, and more power efficient optimization solvers than those currently possible using general-purpose techniques are required for extending the use of model predictive control (MPC) to ...

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

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 ...