Cascaded Sliding-Mode Control of a Vapor Compression Cycle. - Ricus Husmann; Sven Weishaupt; Harald Aschemann (ICSTCC, 2023)

Nonlinear Control of a Vapor Compression Cycle by Input-Output Linearisation. - Ricus Husmann; Sven Weishaupt; Harald Aschemann (MMAR, 2023)

Comparative Analysis of Multiple Deep Reinforcement Learning Approaches for Collision-Free Path-Planning of a 3-DoF-Robot. - Sven Weishaupt; Ricus Husmann; Harald Aschemann; Nils Schlenther; Thimo Oehlschlägel; Christian Steinbrecher (ACC, 2024)

Control of a Vapor Compression Cycle Based on a Moving-Boundary Model. - Ricus Husmann; Sven Weishaupt; Harald Aschemann (ICSTCC, 2024)

Reinforcement Learning for Path Planning and Control of an Autonomous Vehicle with Collision Avoidance. - Kaneewar Ibrahim; Ricus Husmann; Sven Weishaupt; Harald Aschemann (ICSTCC, 2024)

Nonlinear Control of a Vapor Compression Cycle Based on a Partial IOL. - Ricus Husmann; Sven Weishaupt; Harald Aschemann (IECON, 2024)

Exploiting Physics to Learn an Optimal Swing-Up-Strategy for a Variable-Length Pendulum Using Deep Reinforcement Learning. - Sven Weishaupt; Harald Aschemann (IECON, 2024)

Boosting Deep Reinforcement Learning-Based Path Planning for Robotic Manipulators With Egocentric State Space Descriptions. - Sven Weishaupt; Ricus Husmann; Harald Aschemann (IECON, 2024)

Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control. - Ricus Husmann; Sven Weishaupt; Harald Aschemann (CoRR, 2025)