Moein Sarbandi

École Centrale Nantes

Nantes, France

I am an MSCA doctoral researcher in Automatic Control at the Laboratory of Digital Sciences of Nantes (LS2N) (CODEx group), École Centrale Nantes, funded by the DENSE Doctoral Network under Horizon Europe. My PhD research is supervised by Prof. Franck Plestan and Prof. Mohamed Assaad Hamida.

My work develops robust, data-driven, and learning-enhanced control methods for uncertain nonlinear systems, with a primary application to floating offshore wind turbines. I combine adaptive sliding-mode design, neural-network-augmented control, data-driven methods, and nonlinear observers, with validation in MATLAB/Simulink, OpenFAST, and experimental software-in-the-loop platforms.

Research interests

Adaptive and robust nonlinear control: integral sliding-mode control, super-twisting algorithms, adaptive-gain methods, and CLF-QP
Data-driven control: Willems’ Fundamental Lemma, robust informativity using QMI/S-lemma tools, Koopman-operator methods, and DeePC
Learning-based control: online neural networks integrated with classical sliding-mode designs
Predictive control: model predictive control and data-enabled predictive control
Nonlinear observers: second-order sliding-mode observers for state, disturbance, wind-speed, and aerodynamic-parameter estimation
Applications: renewable-energy systems, especially floating offshore wind turbines

Research mobility and collaboration

I completed a research secondment at BTU Cottbus-Senftenberg with Prof. Johannes Schiffer’s group, focusing on data-driven control within the DENSE network. I also collaborate with Prof. Antonella Ferrara’s group at the University of Pavia.

Academic service

I have completed 35+ journal reviews for Automatica, IEEE Transactions on Cybernetics, IEEE Transactions on Power Systems, IEEE Transactions on Aerospace and Electronic Systems, ISA Transactions, Energy, Scientific Reports, Energy Reports, The Journal of Supercomputing, and Wind Engineering. I have also reviewed submissions for the IFAC World Congress 2026 and the American Control Conference 2026. A summary of my peer-review service and presentations is available under academic activities.

My publications and verified researcher record are available through ORCID and the links below. I welcome research collaborations in nonlinear control, data-driven methods, wind energy, robotics, and autonomous systems.

selected publications

WES
Wind speed estimation using second-order sliding-mode observers: simulation and experimental validation on a floating offshore wind turbine

M. Sarbandi, M. Viozelange, M. A. Hamida, and F. Plestan

Wind Energy Science, 2026

Abs DOI Bib HTML

This paper introduces constant-gain and adaptive second-order sliding-mode observers for rotor-effective wind-speed estimation in floating offshore wind turbines. The methods are validated in OpenFAST and experimentally on a scaled software-in-the-loop platform.
@article{sarbandi2026wind, title = {Wind speed estimation using second-order sliding-mode observers: simulation and experimental validation on a floating offshore wind turbine}, author = {Sarbandi, M. and Viozelange, M. and Hamida, M. A. and Plestan, F.}, journal = {Wind Energy Science}, volume = {11}, pages = {2405--2425}, year = {2026}, doi = {10.5194/wes-11-2405-2026}, url = {https://wes.copernicus.org/articles/11/2405/2026/}, }

IFAC WC

Robust control based on a new wind speed observer for floating wind turbines

M. Sarbandi, M. A. Hamida, and F. Plestan

In 23rd IFAC World Congress, Aug 2026

Presented by Moein Sarbandi; preprint available on HAL

Bib HTML

@inproceedings{sarbandi2026ifac,
  title = {Robust control based on a new wind speed observer for floating wind turbines},
  author = {Sarbandi, M. and Hamida, M. A. and Plestan, F.},
  booktitle = {23rd IFAC World Congress},
  address = {Busan, Republic of Korea},
  month = aug,
  year = {2026},
  note = {Presented by Moein Sarbandi; preprint available on HAL}
}