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Ruchuan Ou
Ruchuan Ou
Ph.D. candidate, TU Dortmund
Bestätigte E-Mail-Adresse bei tu-dortmund.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
30*2022
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
152022
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
132023
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
112021
Data-driven multiple shooting for stochastic optimal control
R Ou, G Pan, T Faulwasser
IEEE Control Systems Letters 7, 313-318, 2022
82022
Towards data-driven stochastic predictive control
G Pan, R Ou, T Faulwasser
arXiv preprint arXiv:2212.10663, 2022
62022
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
32023
On data-driven stochastic output-feedback predictive control
G Pan, R Ou, T Faulwasser
arXiv preprint arXiv:2211.17074, 2022
32022
Pathwise turnpike and dissipativity results for discrete-time stochastic linear-quadratic optimal control problems
J Schießl, R Ou, T Faulwasser, MH Baumann, L Grüne
arXiv preprint arXiv:2303.15959, 2023
22023
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
12023
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