3 papers
cs.RO2026
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…
math.OC2025
An Overview of Sensitivity-Based Distributed Optimization and Model Predictive Control
Maximilian Pierer von Esch, Andreas Völz, Knut Graichen
This paper presents a concise overview of sensitivity-based methods for solving large-scale optimization problems in distributed fashion. The approach relies on sensitivities and p…
eess.SY2025
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…