RectorateOpen OpportunitiesThis project aims at automatically learning problem-dependent uncertainty sets by exploiting available data on the uncertain parameters, hence surpassing the limitations of traditional methods such as robust and stochastic optimization approaches that assume the exact knowledge of the support set and of the probability distribution respectively. - Information, Computing and Communication Sciences, Optimisation, Systems Theory and Control
- Master Thesis, Semester Project
| The project investigates the development of a co-axial extrusion methods for large-scale 3D printing bio-cementation structures. The extruded paste will host microorganisms such as S.Pasteurii, capable of precipitating calcite (MICP) to create bio-concrete structures. A robotic paste 3D printing platform will be used for the fabrication process; the bio-paste will be precipitated and calcified by the bacterial activity reinforcing the material. - Architecture, Urban Environment and Building, Chemistry, Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| Sum-of-Squares (SOS) relaxation is a beautiful technique to solve nonconvex optimization problems. As computational capabilities continue to increase, so is the scope of engineering challenges that can be tackled with this method. The goal of this project is to exploit the flexibility of SOS relaxations to design new data-driven control methods for linear dynamics, that can more efficiently incorporate prior knowledge on the system and cope with noisy input-output data. - Dynamical Systems, Optimisation, Systems Theory and Control
- Applications (IfA), Computation (IfA), Master Thesis, Theory (IfA)
| In this project, we will investigate how the productivity level of a global supply chain is impacted by local interaction structures and decision-making dynamics via mathematical analysis and simulation. We will extend existing models on the two-player supply chain game to multi-player supply chains with non-trivial connectivity structures modeled via graph theory, and investigate various player dynamics (e.g. consensus, best response, gradient descent) in combination with different interconnection structures(e.g. trees, small-world network, star) to study the stability of the overall supply chain. - Engineering and Technology, Operations Research, Optimisation, Systems Theory and Control
- Master Thesis
| Buildings are a major contributor to global energy consumption. Better building automation can help reduce the energy consumption and thus the operating cost of a building. This, however, comes at the cost of installing additional sensors and actuators. The goal of this project is to find the optimal trade-off between the two with the exciting real-world example of Empa's famous Nest building. - Control Engineering, Electrical Engineering
- Applications (IfA), Energy (IfA), Master Thesis
| The project aims to explore the bio-fabrication of mycelium-based composites and knitted textiles for architecture and construction. Specifically the textile is used as a growing substrate for mycelium material, offering a sustainable and biodegradable building material and structural system that is strong in both tension and compression. - Composite Materials, Construction Engineering, Electrical Engineering, Fermentation, Biotechnology and Industrial Microbiology
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis, Other specific labels, Semester Project
| In this project we will design a robust MPC controller for flexibility in supply chains. The objective is to guarantee better response to abrupt changes in demand. Specifically we will design a MPC controller that optimally tunes the flexibility, namely the capability of a firm to substitute and reroute products along existing pathways. By enhancing flexibility the system can effectively mitigate the impact of disruptions. - Electrical and Electronic Engineering, Information Storage, Retrieval and Management, Information Systems Management, Mathematical Sciences, Mechanical and Industrial Engineering, Systems Theory and Control
- Master Thesis
| The objective of this project is the design and analysis of a smart recommender system as a dynamic feedback controller that, given (some of) the opinions in the system (measured outputs), provides news (namely, the control input) which is tailored to it. The recommender system objective is to optimize his performances, e.g., to maximize engagement, reduce polarization, or robustify against malicious agents. In contrast to other works, we will incorporate learning into this design, using methods from Data-Driven Control. - Electrical and Electronic Engineering, Systems Theory and Control
- ETH Zurich (ETHZ), Master Thesis
| Feedback optimization is emerging as an important control method for modern power systems, thanks to its robustness and ability to steer the grid to an efficient operating point. In this project, we will design and evaluate novel feedback optimization schemes, based on Lagrangian dual methods, which can handle safety constraints and promise improved robustness to measurement noise. - Dynamical Systems, Optimisation, Systems Theory and Control, Systems Theory and Control
- Applications (IfA), Energy (IfA), Master Thesis, Theory (IfA)
| Battery-powered electric buses can be interpreted as large-scale, mobile, electricity storage devices. The schedules and locations of electric buses are relatively predictable with regards to fixed routes, such as in the twice daily runs of school buses. When an electric bus is not serving its route, it can schedule its charging/discharging to provide ancillary services to the main grid in exchange for monetary incentives. This is often referred to as Vehicle-to-Grid (V2G). Simultaneously, a fleet of electric buses can play a key role as a source of demand-side flexibility to support the system in managing operational uncertainty, resulting in the generation of new revenue streams. The onsite coupling of electric buses with site resources in a Vehicle-to-Everything (V2X) setting has shown extremely promising performance in terms of both site self-sufficiency maximization and demand-side flexibility provision. This project will investigate economic model predictive control (MPC) to reduce energy costs and maximize service revenues in the scenario of joint control of an energy hub (e.g., depot, school campus, parking lot) and its buses. Flexibility envelopes will be developed to estimate the flexibility potential and the corresponding market revenues generated with this joint control architecture, as compared to unpredictable arrival/departure times and with separate control policies. Since the flexibility provision market is highly regulated, we plan to include Swiss/EU regulations as hard constraints in our formulation. Extensions will include the effects of different depreciation models and cases where the energy hub is equipped with Photovoltaic generation, electricity storage (battery/hydrogen), and/or thermal storage. - Engineering and Technology
- ETH Zurich (ETHZ), Master Thesis, Semester Project
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