Open projects
If you have any research ideas in general regarding system identification, learning-based / data-driven control, and model predictive control, I would be happy to discuss and potentially supervise.
Teaching
Data- and Learning-Based Control (Exercises, 2024)
Robust Control and Convex Optimisation (TA, 2023)
System Identification (TA, 2019 - 2022, head TA from 2020)
Control Systems II (TA, 2020 - 2022)
Students projects
Koopman-operator-based data-driven predictive control for nonlinear systems
2023.5 - 2023.9, Semester project with Yanze Liu (visiting student from University of Wisconsin–Madison)Sparse learning algorithms in linear system identification
2023.2 - 2023.9, Master project with David Laseca Pérez, co-supervised with Amber SrivastavaClosed-loop identification of sparse networked systems
2023.2 - 2023.9, Master project with Ran Chen, co-supervised with Amber SrivastavaTransversal hyperplane selection in identification of local limit cycle dynamics
2022.7 - 2022.10, Semester project with Kailai YanConstraint satisfaction and physical consistency in data-driven control for energy flexible buildings
2022.3 - 2022.9, Master project with Andrea Gattiglio, co-supervised with Hanmin Cai from EmpaSparse learning in system identification: debiasing and infinite-dimensional algorithms
2021.4 - 2021.11, Master project with Mehmet Tolga Akan, co-supervised with Andrea Iannelli & Mohammad Khosravi, reportIdentification of limit cycle dynamics with linear periodic models for airborne wind energy applications
2021.3 - 2021.10, Master project with Defne Ege Ozan, co-supervised with Andrea Iannelli, reportModeling and identification of bifurcation regimes in thermoacoustic instabilities
2020.3 - 2020.6, Semester project with Defne Ege Ozan, co-supervised with Andrea Iannelli