1 citations · 1 across the 1 of their papers we have counts for
3 papers
A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S)
Daniel Landgraf, Andreas Völz, Knut Graichen
This paper presents the open-source stochastic model predictive control framework GRAMPC-S for nonlinear uncertain systems with chance constraints. It provides several uncertainty…
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural Processes
Lars Ullrich, Andreas Völz, Knut Graichen
Trajectory planners of autonomous vehicles usually rely on physical models to predict the vehicle behavior. However, despite their suitability, physical models have some shortcomin…
Sensitivity-Based Distributed Model Predictive Control for Nonlinear Systems under Inexact Optimization
Maximilian Pierer von Esch, Andreas Völz, Knut Graichen
This paper presents a distributed model predictive control (DMPC) scheme for nonlinear continuous-time systems. The underlying distributed optimal control problem is cooperatively…