Publications

Schiller, J. D. & Müller, M. A. (2023): Suboptimal nonlinear moving horizon estimation,  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 (Early Access)
DOI: 10.1109/LCSYS.2023.3286174
arXiv: 2305.05442

Schiller, J. D. & Müller, M. A. (2023): Robust stability of moving horizon estimation for continuous-time systems,  Submitted
arXiv: 2305.06614

Schiller, J. D.; Muntwiler, S.; Köhler, J.; Zeilinger, M. N. & Müller, M. A. (2023): A Lyapunov function for robust stability of moving horizon estimation,  IEEE Transactions on Automatic Control (Early Access)
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

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