Relaxed Barrier MPC for Path Following in Constrained Environments

Abstract

We examine the path following problem in the framework of relaxed barrier function based model predictive control for linear discrete-time systems. We establish exponential stability of the closed-loop system and ensure strict constraint satisfaction under a certain set of initial conditions. Furthermore, we propose an algorithm that is firstly applied to different maneuvers in automated driving and secondly compared to a trajectory tracking algorithm.