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You are here: FRIAS Fellows Fellows 2019/20 Dr. Sebastian Gros

Dr. Sebastian Gros

Chalmers University of Technology, Sweden
Department of Signal & Systems
Junior Fellow
January - March 2016

IMTEK - Building 102
Systems Control and Optimization Laboratory

Phone +49 (0)761 203 67849


Sebastien Gros got his MSc degree in mechatronics from EPFL, and obtained his PhD in 2008 from the Automatic Control Laboratory, EPFL. He did his post-doc with OPTICON/OPTEC, at KU Leuven, Belgium. He is now assistant Professor at the department of Signal and Systems at Chalmers University of Technology, Sweden, where he conducts research on energy-related problems, and optimal control.


Selected Publications

  • A Relaxation Strategy for the Optimization of Airborne Wind Energy Systems, S. Gros, M. Zanon and M. Diehl, ECC 2015
  • Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation, S. Gros, M. Zanon and M. Diehl, ECC 2015
  • An Improved Real-time Economic NMPC Scheme for Wind Turbine Control Using Spline-Interpolated Aerodynamic Coefficients, S.  Gros, R. Quirynen, M. Diehl, CDC 2014
  • Modeling of airborne wind energy systems in natural coordinates, S. Gros and M. Diehl, Airborne Wind Energy, 2013, Springer.
  • A Newton Algorithm for Distributed Semi-Definite Programs Using the Primal-Dual Interior-point Method, S. Gros, CDC 2014


FRIAS Research Project

Fault-detection & Recovery of AWE systems

Airborne Wind Energy (AWE) is a promising new technology that could drastically increase the amount of wind energy produced in our societies. AWE is in its early phase of development and requires yet a significant amount of academic and industrial research to reach maturity. Among the technical difficulties to be surmounted, the safety of AWE systems will be a major one. This project will investigate this aspect of the problem from a control perspective, and aims at laying down a foundation to tackle the problem. The work will focus on the problem of fault-detection and emergency recovery of a promising class of AWE systems.