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Automatic Control Laboratory

AcronymIfA
Homepagehttp://www.control.ee.ethz.ch/
CountrySwitzerland
ZIP, City 
Address
Phone
TypeAcademy
Top-level organizationETH Zurich
Parent organizationDepartment of Information Technology and Electrical Engineering
Current organizationAutomatic Control Laboratory
Memberships
  • Max Planck ETH Center for Learning Systems
  • Master in Energy Science and Technology


Open Opportunities

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Online Feedback Optimization for Load Sharing of Gas Compressors

  • ETH Zurich
  • Automatic Control Laboratory

We 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

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)

HYBRID ANGLE CONTROL FOR POWER CONVERTERS IN LOW-INERTIA SYSTEMS

  • ETH Zurich
  • Automatic Control Laboratory

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

COMPARISON OF ADVANCED GRID-FORMING CONTROL TECHNIQUES FOR POWER CONVERTERS IN LOW-INERTIA SYSTEMS

  • ETH Zurich
  • Automatic Control Laboratory

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

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

Paramotor Controller Design via Bayesian Optimization

  • ETH Zurich
  • Automatic Control Laboratory

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

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

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

Power Converter Control Design Satisfying Current Saturation and Actuation Limits for a Collection of Faults

  • 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 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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