| Stability proof for a well-established super-twisting parameter setting R Seeber, M Horn Automatica 84, 241-243, 2017 | 145 | 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 | 131 | 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 | 71 | 2018 |
| Robust exact differentiators with predefined convergence time R Seeber, H Haimovich, M Horn, LM Fridman, H De Battista Automatica 134, 109858, 2021 | 55* | 2021 |
| Conditioned super-twisting algorithm for systems with saturated control action R Seeber, M Reichhartinger Automatica 116, 108921, 2020 | 52 | 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 | 28 | 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 | 28 | 2018 |
| 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 | 22 | 2020 |
| 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 | 21 | 2019 |
| 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 | 18* | 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 | 14 | 2019 |
| 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 | 12 | 2023 |
| 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 |
| 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 | 10 | 2019 |
| Unknown input observer design for linear time-invariant multivariable systems based on a new observer normal form H Niederwieser, M Tranninger, R Seeber, M Reichhartinger International Journal of Systems Science 53 (10), 2180-2206, 2022 | 8 | 2022 |
| Three counterexamples to recent results on finite-and fixed-time convergent controllers and observers R Seeber Automatica 112, 108678, 2020 | 8 | 2020 |
| Generalized Filippov solutions for systems with prescribed-time convergence R Seeber Automatica 157, 111249, 2023 | 7 | 2023 |
| Integral state-feedback control of linear time-varying systems: A performance preserving approach R Seeber, M Tranninger Automatica 136, 110000, 2022 | 7 | 2022 |
