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Katrine Seel
Katrine Seel
Scientist, SINTEF Digital
Verified email at sintef.no
Title
Cited by
Cited by
Year
Safe learning for control using control lyapunov functions and control barrier functions: A review
A Anand, K Seel, V Gjærum, A Håkansson, H Robinson, A Saad
Procedia Computer Science 192, 3987-3997, 2021
502021
Convex neural network-based cost modifications for learning model predictive control
K Seel, AB Kordabad, S Gros, JT Gravdahl
IEEE Open Journal of Control Systems 1, 366-379, 2022
352022
Neural network-based model predictive control with input-to-state stability
K Seel, EI Grøtli, S Moe, JT Gravdahl, KY Pettersen
2021 American Control Conference (ACC), 3556-3563, 2021
352021
A Levenberg-Marquardt algorithm for sparse identification of dynamical systems
M Haring, EI Grøtli, S Riemer-Sørensen, K Seel, KG Hanssen
IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9323-9336, 2022
292022
Robust reasoning for autonomous cyber-physical systems in dynamic environments
A Håkansson, A Saad, A Anand, V Gjærum, H Robinson, K Seel
Procedia Computer Science 192, 3966-3978, 2021
82021
Robotic bin-picking under geometric end-effector constraints: Bin placement and grasp selection
I Gravdahl, K Seel, EI Grøtli
2019 7th International Conference on Control, Mechatronics and Automation …, 2019
72019
Variance-based exploration for learning model predictive control
K Seel, A Bemporad, S Gros, JT Gravdahl
IEEE Access 11, 60724-60736, 2023
52023
Combining Q-learning and deterministic policy gradient for learning-based MPC
K Seel, S Gros, JT Gravdahl
2023 62nd IEEE Conference on Decision and Control (CDC), 610-617, 2023
42023
Learning-based robust model predictive control for sector-bounded Lur’e systems
K Seel, M Haring, EI Grøtli, KY Pettersen, JT Gravdahl
IFAC-PapersOnLine 54 (20), 46-52, 2021
32021
Learning for Model Predictive Control
K Seel
NTNU, 2023
12023
Autonomous navigation of an ROV using tightly coupled integration of inertial and pseudo-range measurements
K Seel
NTNU, 2017
2017
Variance-driven Exploration for Learning-based Model Predictive Control
K Seel, A Bemporad, S Gros, JT Gravdahl
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Articles 1–12