Automatic Control LaboratoryOpen OpportunitiesWe want to apply the novel class of Online Feedback Optimization Controllers to minimise the curtailment of renewable generation. The advantage of these controllers is that they do not track a reference point, but rather drive the system to an optimal point defined by an optimization problem. - Electrical Engineering, Industrial Engineering
- Bachelor Thesis, Semester Project
| Regularized optimization has reported positive results in system identification recently. Such methods aim to avoid overfitting at the cost of inducing bias. In this project, we will investigate debiasing techniques in the context of learning and system identification.
- Control Engineering, Electrical Engineering, Numerical Analysis, Optimisation, Pattern Recognition, Simulation and Modelling, Statistics, Systems Theory and Control, Systems Theory and Control
- Computation (IfA), Master Thesis, Theory (IfA)
| This project aims to explore the theoretical extensions, the conservativeness of the stability condition, angle feedback variants, and optimal tuning for the grid-forming hybrid angle control of the power converters in the low-inertia power systems. - Electrical Engineering, Systems Theory and Control, Systems Theory and Control
- Bachelor Thesis, Collaboration, Master Thesis, Semester Project
| This project aims to provide a comprehensive performance verification of the most recent grid-forming control techniques which are precisely designed for low-inertia power systems. - Electrical Engineering, Systems Theory and Control, Systems Theory and Control
- Bachelor Thesis, Collaboration, Master Thesis, Semester Project
| In this project, we aim at combining decomposition-based approaches with various machine learning techniques to forecast the short-term CO2 intensity time series. Furthermore, we aim at using this forecast in the implementation of an emission-aware Model Predictive Controller. - Engineering and Technology
- Master Thesis, Semester Project
| Mathematical modeling plays an important role in studying social systems. Social interactions are usually highly stochastic and driven by individuals' subjective incentives. This project aims to mathematically model opinion dynamics in the framework of game theory with stochastic best responses. - Mathematical Sciences, Other
- Master Thesis, Semester Project
| We apply constrained Bayesian optimization algorithms to a RC paramotor to automatically design a suitable controller which improves the efficiency and performance of autonomous flight. - Engineering and Technology, Information, Computing and Communication Sciences
- Applications (IfA), Semester Project
| Most of the results establishing asymptotic consistency and finite sample guarantees for learning algorithms assume that the observations used for training are realizations of an i.i.d. stochastic process. In this project, we will go beyond this classical framework, exploring the class of stationary and non-stationary mixing stochastic processes. - Applied Statistics, Approximation Theory, Dynamical Systems, Electrical Engineering, Optimisation, Probability Theory, Statistical Theory, Systems Theory and Control, Time-Series Analysis
- Bachelor Thesis, Collaboration, Master Thesis, Semester Project
| We aim to design and test possible dynamic behaviors for a group of distributed energy resources to collectively provide dynamic ancillary services in future power systems. The advantage of this setup is that devices with different characteristics can complement each other to improve performance. - Electrical Engineering, Systems Theory and Control
- Master Thesis, Semester Project
| We aim to design distributed, linear feedback controllers for a group of power converters in a power system such that they do not exceed limits on current saturation and actuation for a given collection of faults. We do so using a novel control design method to include state and input constraints. - Electrical Engineering, Systems Theory and Control
- Master Thesis, Semester Project
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