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Richard Seeber
Richard Seeber
Verified email at tugraz.at
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Cited by
Cited by
Year
Stability proof for a well-established super-twisting parameter setting
R Seeber, M Horn
Automatica 84, 241-243, 2017
1432017
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
1332010
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
682018
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
462020
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
272023
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
262018
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
202019
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
202019
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
182020
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
16*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
152018
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
132019
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
102022
Three counterexamples to recent results on finite-and fixed-time convergent controllers and observers
R Seeber
Automatica 112, 108678, 2020
82020
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
82019
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
72023
Optimal robust exact differentiation via linear adaptive techniques
R Seeber, H Haimovich
Automatica 148, 110725, 2023
72023
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
62020
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
62014
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