RectorateOpen OpportunitiesIn Formula 1 races, the psychology of human drivers plays a significant role in winning. Who is willing to take more risks and act more aggressively to secure victory? In this project, we aim to replicate such edge scenarios in autonomous racing. Until now, autonomous race cars often act conservatively, assuming the opponent's trajectory is fixed and not pushing to the limits of their constraints. Using game-theoretic control, we want to model the strategic, risky decision-making that happens on the race track. Specifically, we will delve into the competitive behaviors emerging from feedback Nash Equilibria (NE) and open-loop NE and explore whether we can encourage agents to be more aggressive with one solution concept over the other. Can we demonstrate the superiority of feedback equilibria theoretically and in simulation? - Intelligent Robotics, Robotics and Mechatronics, Systems Theory and Control, Systems Theory and Control
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Prosumer communities leverage and share locally generated energy. In response to the Swiss Energy Strategy 2050 and potential gas supply vulnerabilities, transitioning from singular, gas/oil-reliant energy systems to multi-energy networks is imperative. Unlike conventional individual systems where devices are often oversized and underutilized due to being designed for demand peaks, a prosumer community can optimize device use, reducing both energy costs, investment overheads and ecological impact. Therefore, when properly designed and operated, prosumer communities mitigate the inefficiencies typical of traditional setups. However, achieving optimal design is challenging due to complex interactions among stakeholders. The economic and ecological aspects of prosumer communities need to be thoroughly investigated taking into account different scenarios, energy demands and building types. This project aims to investigate various case studies for prosumer communities in the Swiss scenario and explore the technological solutions that mostly benefit from energy sharing. - Mechanical and Industrial Engineering
- Semester Project
| This 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 when global supply chains fail and how the productivity level is impacted by local interaction structures and selfish 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 general 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
| 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)
|
|