Automatic Control Laboratory

Open Opportunities

Control Design for Dynamic Virtual Power Plants ETH Zurich Automatic Control Laboratory 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 collection of disturbances. 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

Design of Desired Dynamic Behavior for Virtual Power Plants ETH Zurich Automatic Control Laboratory 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

Karma mechanisms for many players and resources ETH Zurich Automatic Control Laboratory Karma mechanisms allow for players to self-coordinate the use of resources in a fair and efficient manner. We recently demonstrated that for the case of two players competing over one resource. The main scope of this project is to extend the mechanism to an arbitrary number of players and resources. Intelligent Robotics Master Thesis

Design of a Dynamic Omni-Directional Kick Engine for NAO Bipedal Robots in RoboCup ETH Zurich Automatic Control Laboratory This project aims to design a reliable omni-directional kick engine for the NAO bipedal robot, with dynamic optimization of motion parameters, based on nonlinear optimal control and reinforcement learning, as part of the NomadZ RoboCup Team at ETH Zürich (https://robocup.ethz.ch). Engineering and Technology Master Thesis

Debiasing regularization in learning and system identification algorithms ETH Zurich Automatic Control Laboratory 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)

Short-term forecast of CO2 intensity to support electrical load shifting ETH Zurich Automatic Control Laboratory 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

Game-theoretic models of opinion dynamics ETH Zurich Automatic Control Laboratory 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

Learning with dependent samples ETH Zurich Automatic Control Laboratory 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