Students projects (at University of Stuttgart)

We are always looking for students willing to do their bachelor or master projects in our research group. If you have identified a topic of interest among those discussed here, besides the currently available projects listed below, please feel free to email us.

Available projects

• Learning linear approximations of nonlinear systems in the presence of Gaussian noise (with Nicolas) Description

• When are linear systems hard to learn? (with Nicolas) Description

• Data-driven adaptive control of time-varying systems (with Andrea) Description

• Accelerated Gradient methods for Constrainted Optimization (with Fabian) Description

Topics of interest

Optimization-based control

System identification

Data-driven control

Online learning

Robust control

Dynamical systems

Aerospace

Energy and intelligent transportation systems

Completed projects (at ETHZ)

• “Robust Adaptive MPC under ellipsoidal model uncertainty”. Sabrina Bodmer (co-supervised with Anil Parsi)

• “Scalable adaptive model predictive control with parameterized tubes”. Diyou Liu (co-supervised with Anil Parsi)

• “Integration of robust control design and flexible optimal guidance for reusable launch vehicles”. Dimitrios Gkouletsos (co-supervised with Embotech)

• “Adaptive Control of Networked Dynamical Systems”. Burak Alp Kaya (co-supervised with Ahmed Aboudonia and Anil Parsi)

• “Optimal fusion of tubes for robust model predictive control”. Panagiotis Anagnostaras (co-supervised with Anil Parsi)

• “Debiasing regularization in learning and system identification algorithms”. Mehmet Tolga Akan (co-supervised with Mingzhou Yin and Mohammad Khosravi)

• “Identification of Limit Cycle Dynamics with Linear Periodic Models for Airborne Wind Energy Applications”. Defne Ege Ozan (co-supervised with Mingzhou Yin)

• “Distributed Dual Quaternion Extended Kalman Filtering for Spacecraft Attitude Control”. Jonas Binz (co-supervised with Mathias Hudoba de Badyn)

• “Dynamic Mode Decomposition for Point Cloud Registration”. Carl Biagosch

• “Distributed Ergodic Exploration With Multi-Agent Systems”. Dimitrios Gkouletsos (co-supervised with Mathias Hudoba de Badyn)

• “Physics-Informed Learning of Deep Neural Dynamics”. Camilla Casamento Tumeo (co-supervised with Philippe Wenk)

• “A time-varying extension of the French-DeGroot model with decaying interpersonal influences”. Cédric Uschatz (co-supervised with Mathias Hudoba de Badyn and Wenjun Mei)

• “Modeling of a travelling wave thermoacoustic machine”. Tim Liechti (co-supervised with Samuel Balula)

• “Data-driven parameterized reduced order modeling of airborne wind energy systems”. Nivethan Yogarajah (co-supervised with Eva Ahbe)

• “Modeling and identification of bifurcation regimes in thermoacoustic instabilities”. Defne Ege Ozan (co-supervised with Mingzhou Yin)

• “Modeling and Control of Energy Consumption in Buildings: Thermal and Visual Comfort”. Claudia Häberling (co-supervised with Mohammad Khosravi and Anil Parsi)

• “Data-Driven Modeling and Predictive Control of Buildings”. Sébastien Rosat (co-supervised with Mohammad Khosravi)

• “Design and deployment of a control board for thermoacoustic experiments”. Martin Stefan Baumann (co-supervised with Samuel Balula)

• “Fast C sum of squares optimization toolbox”. Jan Schäppi (co-supervised with Joe Warrington)