Julian David Schiller

Nonlinear moving horizon estimation for robust state and parameter estimation
Schiller, J. D. & Müller, M. A., Mar 2026, In: AUTOMATICA. 185, 112790.
Research output: Contribution to journal › Article › Research › peer review

Open Access
Tuning the burn-in phase in training recurrent neural networks improves their performance
Schiller, J. D., Heinrich, M., Lopez Mejia, V. G. & Müller, M. A., 2026, (E-pub ahead of print) The Fourteenth International Conference on Learning Representations.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Open Access
Robust stability and performance of nonlinear moving horizon estimation
Schiller, J. D., 10 Aug 2025, Logos Verlag Berlin GmbH. 266 p.
Research output: Book/Report › Monograph › Research › peer review

Open Access
Robust stability and performance of nonlinear moving horizon estimation
Schiller, J. D., 10 Aug 2025, 266 p.
Research output: Thesis › Doctoral thesis
Event-triggered moving horizon estimation for nonlinear systems
Krauss, I., Schiller, J. D., Lopez, V. G. & Muller, M. A., 16 Dec 2024, 2024 IEEE 63rd Conference on Decision and Control, CDC 2024. Institute of Electrical and Electronics Engineers Inc., p. 3801-3806 6 p. (Proceedings of the IEEE Conference on Decision and Control).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Open Access

Personal profile