M.Sc. Lukas Markolf

CONTACTINFORMATION

Email:      lukas.markolf(at)uni-kassel.de

Phone:    +49-(0)561-804-6492
Fax:        +49-(0)561-804-6383

Office:    1636 (Neubau, Wilhelmshoeher Allee 73)

Consultation hour on appointment

SHORT BIOGRAPHY

 - PhD Student (University of Kassel, since 16.05.2019)
 - M.Sc. in Electrical Engineering, Focus Process Measurement and Control Technology
   (University of Kassel, 2017-2019)
 - B.Sc. in Electrical Engineering, Focus Process Measurement and Control Technology
   (University of Kassel, 2013-2017)
 - Duales Studium (Continental AG, 2013-2017)

RESEARCH INTERESTS

Guarantees in Control of systems including principles of artificial intelligence and learning

PUBLICATIONS

L. Markolf, J. Eilbrecht, and O. Stursberg, “Trajectory Planning for Autonomous Vehicles combining Nonlinear Optimal Control and Supervised Learning.,” IFAC-PapersOnline, vol. 53(2), pp. 15817–15823, 2020.
L. Markolf and O. Stursberg, “Polytopic Input Constraints in Learning-Based Optimal Control Using Neural Networks,” Proc. European Control Conference, pp. 1018–1023, 2021.
L. Markolf and O. Stursberg, “Stability Analysis for State Feedback Control Systems Established as Neural Networks with Input Constraints,” Proc. of the 18th Int. Conf. on Informatics in Control, Automation and Robotics, pp. 146–155, 2021.
L. Markolf and O. Stursberg, “Learning-Based Optimal Control of Constrained Switched Linear Systems Using Neural Networks,” Proc. of the 18th International Conference on Informatics in Control, Automation and Robotics, pp. 90–98, 2021.
L. Markolf and O. Stursberg, “Receding‑Horizon Control of Constrained Switched Systems with Neural Networks as Parametric Function Approximators,” SN Computer Science, vol. 4, p. 62, 2023.
L. Markolf and O. Stursberg, “Tailored Output Layers of Neural Networks for Satisfaction of State Constraints in Nonlinear Control Systems,” Proceedings of the 2023 Annual American Control Conference (ACC), pp. 1881–1888, 2023.
L. Markolf and O. Stursberg, “DNN-Approximations of Control Laws for Nonlinear Systems with Polytopic Constraints,” Proc. of the 22nd IFAC World Congress, pp. 1516–1521, 2023.