Publications

Krauss, I.; Lopez, V. G. & Müller, M. A. (2025): On Sample-Based Functional Observability of Linear Systems,  IEEE Control Systems Letters, vol. 9, pp. 1393-1398
DOI: 10.1109/LCSYS.2025.3582512
arXiv: 2506.23744v1

Krauss, I.; Lopez, V. G. & Müller, M. A. (2025): Robust stability of event-triggered nonlinear moving horizon estimation,  submitted
arXiv: 2510.04814

Krauss, I.; Lopez, V. G. & Müller, M. A. (2025): Sample-based nonlinear detectability for discrete-time systems,  IEEE Transactions on Automatic Control, vol. 70, no. 4, pp. 2422 - 2434
DOI: 10.1109/TAC.2024.3485486
arXiv: 2312.13658

Krauss, I.; Lopez, V. G. & Müller, M. A. (2025): Sample-based Moving Horizon Estimation,  submitted
arXiv: 2510.24191

Siriya, S.; Wolff, T. M.; Krauss, I.; Lopez, V. G. & Müller, M. A. (2025): Estimating Hormone Concentrations in the Pituitary-Thyroid Feedback Loop from Irregularly Sampled Measurements,  submitted
arXiv: 2512.10657

Wolff, T. M.; Krauss, I.; Lopez, V. G. & Müller, M. A. (2025): Data-based Moving Horizon Estimation under Irregularly Measured Data,  submitted
arXiv: 2512.20259

Krauss, I.; Schiller, J. D; Lopez, V. G. & Müller, M. A. (2024): Event-triggered moving horizon estimation for nonlinear systems,  Proceedings of the 2024 IEEE 63rd Conference on Decision and Control (CDC), pp. 3801-3806
DOI: 10.1109/CDC56724.2024.10886849
arXiv: 2408.06208

Krauss, I.; Lopez, V. G. & Müller, M. A. (2022): Sample-based observability of linear discrete-time systems,  2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, pp. 4199-4205
DOI: 10.1109/CDC51059.2022.9993267