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Institute of Automatic Control
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Julian Schiller
Publications
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2025
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Journal Papers
Schiller, J. D.; Grüne, L. & Müller, M. A.
(2025):
Performance guarantees for optimization-based state estimation using turnpike properties
,
Submitted
arXiv:
2501.18385
Krauss, I.; Schiller, J. D; Lopez, V. G. & Müller, M. A.
(2024):
Event-triggered moving horizon estimation for nonlinear systems
,
submitted
arXiv:
2408.06208
Schiller, J. D. & Müller, M. A.
(2024):
Robust stability of moving horizon estimation for continuous-time systems
,
at - Automatisierungstechnik, Vol. 72, No. 2, pp. 120-133
DOI:
10.1515/auto-2023-0087
arXiv:
2305.06614
Schiller, J. D. & Müller, M. A.
(2024):
Moving horizon estimation for nonlinear systems with time-varying parameters
,
IFAC-PapersOnLine, Vol. 58, No. 18, pp. 341-348
DOI:
10.1016/j.ifacol.2024.09.053
arXiv:
2404.09566
Schiller, J. D.; Grüne, L. & Müller, M. A.
(2024):
Optimal state estimation: Turnpike analysis and performance results
,
Submitted
arXiv:
2409.14873
Schiller, J. D. & Müller, M. A.
(2023):
Suboptimal nonlinear moving horizon estimation
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IEEE Transactions on Automatic Control, Vol. 68, No. 4, pp. 2199-2214
DOI:
10.1109/TAC.2022.3173937
arXiv:
2108.13750
Schiller, J. D. & Müller, M. A.
(2023):
On an integral variant of incremental input/output-to-state stability and its use as a notion of nonlinear detectability
,
IEEE Control Systems Letters, Vol. 7, pp. 2341-2346
DOI:
10.1109/LCSYS.2023.3286174
arXiv:
2305.05442
Schiller, J. D. & Müller, M. A.
(2023):
Nonlinear moving horizon estimation for robust state and parameter estimation
,
Submitted
arXiv:
2312.13175
Schiller, J. D.; Muntwiler, S.; Köhler, J.; Zeilinger, M. N. & Müller, M. A.
(2023):
A Lyapunov function for robust stability of moving horizon estimation
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IEEE Transactions on Automatic Control, Vol. 68, Issue 12, pp. 7466-7481
DOI:
10.1109/TAC.2023.3280344
arXiv:
2202.12744
Schiller, J. D.; Wu, B. & Müller, M. A.
(2023):
A simple suboptimal moving horizon estimation scheme with guaranteed robust stability
,
IEEE Control Systems Letters, Vol. 7, pp. 19-24
DOI:
10.1109/LCSYS.2022.3186236
arXiv:
2203.16090
Conference Papers
Schiller, J. D. & Müller, M. A.
(2023):
A moving horizon state and parameter estimation scheme with guaranteed robust convergence
,
22nd IFAC World Congress: Yokohama, Japan, July 9-14, 2023. IFAC-PapersOnLine, Vol. 56, Issue 2, pp. 6759-6764
DOI:
10.1016/j.ifacol.2023.10.382
arXiv:
2211.09053
Schiller, J. D.; Knüfer, S. & Müller, M. A.
(2021):
Robust Stability of Suboptimal Moving Horizon Estimation using an Observer-Based Candidate Solution
,
IFAC-PapersOnLine, Vol. 54, Issue 6, pp. 226-231
DOI:
10.1016/j.ifacol.2021.08.549
Julian Schiller
General Overview Julian Schiller
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Faculty for Electrical Engineering and Computer Science
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