Automatic Control LaboratoryOpen OpportunitiesModel Predictive Control (MPC) is extensively utilized in industry and academia. However, designing an optimal cost function and constraints for achieving the best closed-loop performance remains an open challenge. This project seeks to bridge this gap by framing the problem as a policy optimization problem and solving it through the application of gradient-based optimization schemes. - Electrical Engineering
- Master Thesis, Semester Project
| In 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
| 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
| 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 production systems 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 production system game to multi-player production system 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
| Efficient supply chain management, encompassing the entire process from raw materials to end customer delivery, is essential in today's unpredictable market. This project aims to develop a robust MPC approach to enhance the flexibility of supply chains, defined as the ability to substitute and reroute products efficiently. By ensuring a swift response to sudden demand changes, our MPC strategy will help mitigate disruptions and maintain continuous operations. - 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)
| The collaboration between Advanced Manufacturing Lab (am|z) and Automatic Control Lab (IFA) is centered on developing a novel scan path generator for a laser powder bed fusion (PBF) machine capable of processing multiple materials simultaneously. The aim is to integrate the Machine Control Framework (AMCF) with our machine control system to enhance controlability and reliability. - Electrical and Electronic Engineering, Mechanical Engineering, Programming Techniques
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis
| The revolutionary appeal of cryptocurrencies and the underlying distributed ledgers is that no one owns them. They are highly democratic systems (at least in principle): the community sets the rules of the ledger and maintains it. This has the unique feature of being highly dynamic and adaptable to the latest greatest in technology and societal needs. But to fully deliver on their appeal, distributed ledgers must employ a fair and efficient mechanism for self-governance. Should a ledger change its protocol, e.g., from proof-of-work to proof-of-stake? How should a newly identified bug be resolved? Many distributed ledgers have adopted voting-like mechanisms for this purpose, but crucially, voting rights are associated with the amount of tokens owned, and as a direct consequence, with the wealth of the users, contradicting the most basic principles of democracy. However, unlike in classical political decisions, crypto-governance decisions are highly dynamic and frequent - they almost occur in real-time. This makes them especially suited for a karma economy, which has been recently demonstrated to achieve highly fair and efficient outcomes in repetitive settings in a completely non-monetary manner. - Systems Theory and Control
- Master Thesis, Semester Project
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