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From the 1 of 6 linked papers with an AI index.

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6 papers

eess.SY2026

Robust Nonlinear Trajectory Tracking Control for Autonomous Racing on Three-Dimensional Tracks

Joscha F. Bongard, Georg Jank, Simon Sagmeister +1

The paper presents a robust nonlinear model predictive control scheme that tracks trajectories of autonomous race cars on three‑dimensional tracks, using a simplified single‑track…

cs.RO2026

Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing

Georg Jank, Mattia Piccinini, Sebastian Wenk +3

Feedforward steering control is a key component of hierarchical control architectures for autonomous racing. The goal is to reduce steering corrections from the feedback controller…

cs.RO2026

Head-to-Head autonomous racing at the limits of handling in the A2RL challenge

Simon Hoffmann, Simon Sagmeister, Tobias Betz +17

Autonomous racing presents a complex challenge involving multi-agent interactions between vehicles operating at the limit of performance and dynamics. As such, it provides a valuab…

eess.SY2026

Control Lyapunov Functions for Optimality in Sontag-Type Control

Joscha F. Bongard, Boris Lohmann

Given a Control Lyapunov Function (CLF), Sontag's famous Formula provides a nonlinear state-feedback guaranteeing asymptotic stability of the setpoint. At the same time, a cost fun…

eess.SY2026

Dynamic Constraint Tightening for Nonlinear MPC for Autonomous Racing via Contraction Analysis

Joscha F. Bongard, Valentin L. Krieger, Boris Lohmann

This work develops a robust nonlinear Model Predictive Control (MPC) framework for path tracking in autonomous vehicles operating at the limits of handling utilizing a Control Cont…

eess.SY2025

Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles

Phillip Pitschi, Simon Sagmeister, Sven Goblirsch +2

Usually, a controller for path- or trajectory tracking is employed in autonomous driving. Typically, these controllers generate high-level commands like longitudinal acceleration o…