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Bourgois, Auguste and Chaabouni, Amine and Rauh, Andreas and Jaulin, Luc (2023) Proving the stability of the rolling navigation. Acta cybernetica. pp. 1-30. ISSN 0324-721X - 2676-993X (In Press)
Rauh, Andreas and Malti, Rachid (2022) Quantification of time-domain truncation errors for the reinitialization of fractional integrators. Acta cybernetica. pp. 1-24. ISSN 0324-721X - 2676-993X (In Press)
Rauh, Andreas (2022) Exponential enclosures for the verified simulation of fractional-order differential equations. Fractal and fractional, 6 (10,567). pp. 1-17. ISSN 2504-3110
Chu, Bing and Rauh, Andreas and Aschemann, Harald and Rogers, Eric and Owens, David H. (2022) Constrained iterative learning control for linear time-varying systems with experimental validation on a high-dpeed rack feeder. IEEE transactions on control systems technology, 30 (5). pp. 1834-1846. ISSN 1063-6536 - 1558-0865
Rauh, Andreas and Jaulin, Luc and Alexandre dit Sandretto, Julien (2022) Algorithms for reliable estimation, identification and control. Algorithms, 15 (8, 276). pp. 1-5. ISSN 1999-4893
Rauh, Andreas and Bourgois, Auguste and Jaulin, Luc (2022) Verifying provable stability domains for discrete-time systems using ellipsoidal state enclosures. Acta cybernetica. pp. 1-25. ISSN 0324-721X - 2676-993X (In Press)
Rauh, Andreas and Gourret, Yohann and Lagattu, Katell and Hummes, Bernardo and Jaulin, Luc and Reuter, Johannes and Wirtensohn, Stefan and Hoher, Patrick (2022) Experimental validation of ellipsoidal techniques for state estimation in marine applications. Algorithms, 15 (5, 162). pp. 1-23. ISSN 1999-4893
Rauh, Andreas and Chevet, Thomas and Dinh, Thach Ngoc and Marzat, Julien and Raïssi, Tarek (2022) Robust iterative learning observers based on a combination of stochastic estimation schemes and ellipsoidal calculus. In: 2022 25th International Conference on Information Fusion (FUSION). IEEE, Piscataway, NJ, pp. 1-8. ISBN 978-1-7377497-2-1
Rauh, Andreas and Chevet, Thomas and Dinh, Thach Ngoc and Marzat, Julien and Raïssi, Tarek (2022) A stochastic design approach for iterative learning observers for the estimation of periodically recurring trajectories and disturbances. In: 2022 European Control Conference (ECC). IEEE, Piscataway, NJ, pp. 1548-1553. ISBN 978-1-6654-9733-6 - 978-3-907144-07-7
