Automatic Control LaboratoryOpen OpportunitiesPower-Hardware-In-the-Loop is an advanced simulation infrastructure that allows connecting power producing devices to real-time grid simulators. The project aims at designing an interface which ensures robust stability and performance and testing it at the Hydro Quebec Research Institute. - Control Engineering, Electrical Engineering, Systems Theory and Control
- Master Thesis
| In this project we aim at apply and extend robust data-driven dynamic programming (DDP) algorithms present in literature. We will test the performance of the developed scheme in the context of energy system management. - Engineering and Technology
- Master Thesis, Semester Project
| Autonomous vehicles regularly interact with others, e.g., when overtaking, merging, and changing lanes. A promising technique for managing these interactions is game theoretic planning, wherein the behaviour of other vehicles are modelled using game theory. - Engineering and Technology, Mathematical Sciences
- Master Thesis
| We want to apply a novel data-enabled predictive control (DeePC) algorithm for renewable generators to perform safe and optimal control. The DeePC algorithm is a model-free approach for calculating optimal control inputs solely based on input/output data, which provides the possibility to achieve network synchronization and power regulation of renewable generators in a data-driven fashion. We will investigate how different control objective functions lead to different performance of renewable energy systems and study whether one can specify proper objective functions to make the renewable generator operate in grid-forming mode. - Engineering and Technology
- Master Thesis
| Autonomy is a key enabler for successful and reliable space missions carried out with reusable rockets. This project will investigate the integration of optimal guidance strategies with the design of robust controllers for these challenging missions, which are in the forefront of space endeavours. - Flight Control Systems, Flight Dynamics, Systems Theory and Control
- Master Thesis
| Deep neural networks (DNNs) are powerful mathematical models capable of learning arbitrarily complex functions given a sufficiently representative set of data points. In the recent decade, DNNs have been successfully deployed in many different applications, ranging from computer vision to finance.
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences
- Master Thesis
| The goal of this project is to develop and test control strategies for a heterogenous group of geographically distributed energy resources (e.g. wind, PV, energy storage systems, etc.) to collectively provide dynamic ancillary services to the power grid. - Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| The objective is to explore the applications of the predictive-sensitivity approach in the field of optimization, in particular, for algorithm that have nested loops on different time-scales. - Engineering and Technology, Mathematical Sciences
- Master Thesis
| The objective of the Thesis is to build a stochastic online feedback optimization algorithm taking into account the uncertainty from a dynamic state estimation, and use to solve a power grid optimal power flow. - Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| To achieve continuous stability, we propose to optimize the swiss-FEL UV seed laser beam, using images of the beam from two cameras and measurements of the laser power. In this project, we will use sequential data-driven optimization to achieve efficiently the correct alignment via motorized mirrors - Engineering and Technology
- Master Thesis
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