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Lukas Ecker
Lukas Ecker
Institute of Automatic Control and Control Systems Technology
Verified email at jku.at
Title
Cited by
Cited by
Year
Observer design for a single mast stacker crane
L Ecker, T Malzer, A Wahrburg, M Schöberl
at-Automatisierungstechnik 69 (9), 806-816, 2021
72021
Observer design for an inertia wheel pendulum with static friction
L Ecker, K Schlacher, M Schöberl
IFAC-PapersOnLine 55 (20), 313-318, 2022
32022
An approximation of the Bayesian state observer with Markov chain Monte Carlo propagation stage
L Ecker, K Schlacher
IFAC-PapersOnLine 55 (20), 301-306, 2022
32022
Data-driven control and transfer learning using neural canonical control structures
L Ecker, M Schöberl
arXiv preprint arXiv:2302.04042, 2023
22023
Data-driven observer design for an inertia wheel pendulum with static friction
L Ecker, M Schöberl
IFAC-PapersOnLine 55 (40), 193-198, 2022
22022
Energy-based Control and Observer Design for higher-order infinite-dimensional Port-Hamiltonian Systems
T Malzer, L Ecker, M Schöberl
IFAC-PapersOnLine 54 (19), 44-51, 2021
22021
Indirect data-driven observer design using neural canonical observer structures
L Ecker, M Schöberl
IEEE Control Systems Letters, 2023
2023
A data-driven approach for the identification of nonlinear state-dependent switched systems using expectation-maximization
L Ecker, M Schöberl
2022 17th International Conference on Control, Automation, Robotics and …, 2022
2022
Symplektische Integration finit-und infinit-dimensionaler Hamiltonscher Systeme/eingereicht von Lukas Ecker
L Ecker
Universität Linz, 2020
2020
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