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Ruchuan Ou
Ruchuan Ou
Ph.D. candidate, TU Dortmund
Verified email at tu-dortmund.de - Homepage
Title
Cited by
Cited by
Year
On a stochastic fundamental lemma and its use for data-driven optimal control
G Pan, R Ou, T Faulwasser
IEEE Transactions on Automatic Control, 2022
37*2022
Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again
T Faulwasser, R Ou, G Pan, P Schmitz, K Worthmann
Annual Reviews in Control, 2023
232023
ALADIN‐—An open‐source MATLAB toolbox for distributed non‐convex optimization
A Engelmann, Y Jiang, H Benner, R Ou, B Houska, T Faulwasser
Optimal Control Applications and Methods 43 (1), 4-22, 2022
182022
A simulation study on turnpikes in stochastic LQ optimal control
R Ou, MH Baumann, L Grüne, T Faulwasser
IFAC-PapersOnLine 54 (3), 516-521, 2021
122021
Towards data‐driven stochastic predictive control
G Pan, R Ou, T Faulwasser
International Journal of Robust and Nonlinear Control, 2022
102022
Data-driven multiple shooting for stochastic optimal control
R Ou, G Pan, T Faulwasser
IEEE Control Systems Letters 7, 313-318, 2022
82022
Data-driven stochastic output-feedback predictive control: Recursive feasibility through interpolated initial conditions
G Pan, R Ou, T Faulwasser
Learning for Dynamics and Control Conference, 980-992, 2023
62023
Pathwise turnpike and dissipativity results for discrete-time stochastic linear-quadratic optimal control problems
J Schießl, R Ou, T Faulwasser, MH Baumann, L Grüne
2023 62nd IEEE Conference on Decision and Control (CDC), 2790-2795, 2023
42023
On data-driven stochastic output-feedback predictive control
G Pan, R Ou, T Faulwasser
arXiv preprint arXiv:2211.17074, 2022
42022
Turnpike and dissipativity in generalized discrete-time stochastic linear-quadratic optimal control
J Schießl, R Ou, T Faulwasser, MH Baumann, L Grüne
arXiv preprint arXiv:2309.05422, 2023
32023
Near-optimal performance of stochastic economic MPC
J Schießl, R Ou, T Faulwasser, MH Baumann, L Grüne
arXiv preprint arXiv:2403.15159, 2024
2024
A Polynomial Chaos Approach to Stochastic LQ Optimal Control: Error Bounds and Infinite-Horizon Results
R Ou, J Schießl, MH Baumann, L Grüne, T Faulwasser
arXiv preprint arXiv:2311.17596, 2023
2023
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