Stability proof for a well-established super-twisting parameter setting R Seeber, M Horn Automatica 84, 241-243, 2017 | 144 | 2017 |
RATSY–a new requirements analysis tool with synthesis R Bloem, A Cimatti, K Greimel, G Hofferek, R Könighofer, M Roveri, ... Computer Aided Verification: 22nd International Conference, CAV 2010 …, 2010 | 134 | 2010 |
A novel method to estimate the reaching time of the super-twisting algorithm R Seeber, M Horn, L Fridman IEEE Transactions on Automatic Control 63 (12), 4301-4308, 2018 | 68 | 2018 |
Robust exact differentiators with predefined convergence time R Seeber, H Haimovich, M Horn, LM Fridman, H De Battista Automatica 134, 109858, 2021 | 54* | 2021 |
Conditioned super-twisting algorithm for systems with saturated control action R Seeber, M Reichhartinger Automatica 116, 108921, 2020 | 47 | 2020 |
A redesign methodology generating predefined‐time differentiators with bounded time‐varying gains R Aldana‐López, R Seeber, D Gómez‐Gutiérrez, MT Angulo, M Defoort International Journal of Robust and Nonlinear Control 33 (15), 9050-9065, 2023 | 27 | 2023 |
Necessary and sufficient stability criterion for the super-twisting algorithm R Seeber, M Horn 2018 15th International Workshop on Variable Structure Systems (VSS), 120-125, 2018 | 26 | 2018 |
Detectability analysis and observer design for linear time varying systems M Tranninger, R Seeber, S Zhuk, M Steinberger, M Horn IEEE Control Systems Letters 4 (2), 331-336, 2019 | 21 | 2019 |
Guaranteeing disturbance rejection and control signal continuity for the saturated super-twisting algorithm R Seeber, M Horn IEEE Control Systems Letters 3 (3), 715-720, 2019 | 20 | 2019 |
Saturated Lipschitz continuous sliding mode controller for perturbed systems with uncertain control coefficient CA Martínez-Fuentes, R Seeber, L Fridman, JA Moreno IEEE Transactions on Automatic Control 66 (8), 3885-3891, 2020 | 18 | 2020 |
On inherent limitations in robustness and performance for a class of prescribed-time algorithms R Aldana-López, R Seeber, H Haimovich, D Gómez-Gutiérrez Automatica 158, 111284, 2023 | 17* | 2023 |
A Lyapunov function for an extended super-twisting algorithm R Seeber, M Reichhartinger, M Horn IEEE Transactions on Automatic Control 63 (10), 3426-3433, 2018 | 15 | 2018 |
Reference shaping for model-based control of biomass grate boilers R Seeber, M Gölles, N Dourdoumas, M Horn Control engineering practice 82, 173-184, 2019 | 13 | 2019 |
Innovative interaction approach in IMM filtering for vehicle motion models with unequal states dimension J Zubača, M Stolz, R Seeber, M Schratter, D Watzenig IEEE Transactions on Vehicular Technology 71 (4), 3579-3594, 2022 | 10 | 2022 |
Unknown input observer design for linear time‐invariant systems—A unifying framework M Tranninger, H Niederwieser, R Seeber, M Horn International Journal of Robust and Nonlinear Control 33 (15), 8911-8934, 2023 | 9 | 2023 |
Three counterexamples to recent results on finite-and fixed-time convergent controllers and observers R Seeber Automatica 112, 108678, 2020 | 8 | 2020 |
An anti-windup scheme for the super-twisting algorithm MA Golkani, S Koch, R Seeber, M Reichhartinger, M Horn 2019 IEEE 58th Conference on Decision and Control (CDC), 6947-6952, 2019 | 8 | 2019 |
Optimal robust exact differentiation via linear adaptive techniques R Seeber, H Haimovich Automatica 148, 110725, 2023 | 7 | 2023 |
Computing and estimating the reaching time of the super-twisting algorithm R Seeber Variable-Structure Systems and Sliding-Mode Control: From Theory to Practice …, 2020 | 6 | 2020 |
Erweiterung eines modellbasierten Regelungskonzepts für Biomassefeuerungsanlagen Improvement of a Model Based Control Strategy for Biomass Furnaces. R Seeber, M Gölles, T Brunner, N Dourdoumas, I Obernberger Automatisierungstechnik 62 (12), 2014 | 6 | 2014 |