Delft Center for Systems and Control (DCSC) coordinates the education and research activities in systems and control at the Delft University of Technology, in the Faculty Mechanical, Maritime and Materials Engineering (3mE). DCSC has been established in 2003 by merging the systems and control groups of Electrical Engineering (EWI), Mechanical Engineering (3mE), and Applied Physics (TNW).

XII Workshop on Adaptive Optics for Industry and Medicine

Professor Michel Verhaegen and Professor Gleb Vdovine are the general co-chairs of the International Workshop on Adaptive Optics for Industry and Medicine (AOIM) explores the recent developments, current practices and future trends in adaptive optics and closely related fields. The AOIM XII Workshop and AO school will be held on October 21-25, 2019 in the TU Delft Science Centre, The Netherlands. The relaxed atmosphere of this single-session meeting encourages the participants to present and freely discuss the recent developments in adaptive optics applied to industrial and medical applications. The programme topics are the following: General Adaptive Optics Control for Adaptive Optics Wavefront Correctors Wavefront Sensing Microscopy High Power Lasers Ophthalmology Computational Imaging & Holography Free Space Optics Lithography Imaging through Turbulence Emerging Technologies This edition of the workshop will be preceded by a Two-day Adaptive Optics School on October 21 & 22 . The AOIM workshop is organized by the Delft Center of Systems and Control (DCSC). The conference will be based in the Science Center of Delft University, near the Schie Canal in the proximity of the city center. Delft is located 50 km to the south of Amsterdam and 10km distance from the centers of The Hague and Rotterdam and is served by two airports (Schiphol and Rotterdam airport) with convenient and quick train/bus connections. There are plenty of cultural opportunities in the area. The AOIM XII workshop is co-organized with the Face2Phase event that will take place on 21-23 October 2019 in Delft. Delagates of AOIM have full access to Face2Phase talks and program events, and delegates of Face2Phase have full access to the AOIM program (AO school is not included). Only one regitration (to any of these two events) is necessary. The events are scheduld one after another to avoid parallel sessions: Face2Phase on 21-23 October, and AOIM on 23-25 Oct, with no overlap. Please mark your calendar: AO School: Oct 21-22, 2019, Face2Phase event: Oct 21-23, 2019, AOIM XII workshop: Oct 23-25, 2019.

2018 George Nicholson Paper Award

2018 George Nicholson Paper Award The George Nicholson Student Paper Competition, arguably the most prestigious student award in the operations research community, is held each year since 1975 to honor outstanding student papers in the field of operations research and the management sciences. Viet Anh, a visiting PhD student at TU Delft and co-supervised by Peyman Mohajerin Esfahani, is the first winner from a European university. He received the 2018 Nicholson Award for the paper “Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator”. The precision matrix is a key ingredient for a number of important problems including the optimal feedback control in the LQR problem, the optimal classification rule in linear discriminant analysis, the optimal investment portfolio in Markowitz’ celebrated mean-variance model, and the optimal array vector of the beamforming problem in signal processing. Moreover, the optimal fingerprint method used to detect a multivariate climate change signal blurred by weather noise requires knowledge of the climate vector’s precision matrix. In this paper, it is shown that the proposed estimator has many desirable theoretical properties and displays a similar performance as the graphical lasso approach (which requires solving a large semidefinite program) at the computational cost of a naive linear shrinkage estimator (which requires merely a spectral decomposition). A follow-up of this paper offers a game-theoretic setting to propose a novel robust Kalman filter for state-estimation in dynamical systems. This study has also been featured as a spotlight presentation (acceptance rate: 3.5%) at the 2018 Conference on Neural Information Processing Systems (NIPS), the leading conference in machine learning. Related link and papers: - Award link: - George Nicholson paper: “Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator”, Viet Anh Nguyen, Daniel Kuhn, and Peyman Mohajerin Esfahani, May 2018, [arXiv:1805.07194] - NIPS spotlight presentation paper: “Wasserstein Distributionally Robust Kalman Filtering”, Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, and Peyman Mohajerin Esfahani, Neural Information Processing Systems (NIPS), December 2018, [arXiv: 1809.08830]

Giulia Giordano appointed as Delft Technology Fellow

Giulia Giordano, assistant professor in Networked Cyber-Physical Systems at the Delft Center for Systems and Control, has been awarded a Delft Technology Fellowship (DTF). The DTF is an initiative of the TU Delft that creates high-profile positions for outstanding female academic researchers and enables the fellows to establish their own research programme at an international top level, including a 5-year fellowship and start-up funding. It is a great opportunity for me,’ Giulia says, ‘to develop my research agenda here at the TU Delft Giulia’s main research interests include the study of dynamical networks, the analysis of biological systems and the control of networked systems. ‘Our world is continuously changing and densely interconnected. Everywhere around us, in man-made systems such as smart grids, transportation networks or the Internet, but also inside the cells and tissues in our own bodies, we see complex phenomena due to the interplay of entities that evolve, in space and time, and interact with one another according to a precise wiring. One of my main research goals is to investigate how the network wiring affects the complex dynamic behaviours that emerge in the overall interconnected system.’ Giulia has a background in electrical engineering, dynamical systems and control theory. She received her PhD from the University of Udine in 2016. She held visiting positions at the Control and Dynamical Systems group, California Institute of Technology, and at the Institute of Systems Theory and Automatic Control, University of Stuttgart. Before joining the TU Delft, she was in the Department of Automatic Control and LCCC Linnaeus Center, Lund University. Giulia received the Outstanding TAC Reviewer award letter from the IEEE Transactions on Automatic Control in 2016, the EECI PhD Award 2016 from the European Embedded Control Institute for her PhD thesis “Structural Analysis and Control of Dynamical Networks” and the IFAC NAHS Paper Prize 2017 as a co-author of the paper “A Switched System Approach to Dynamic Race Modelling”, published in the journal Nonlinear Analysis: Hybrid Systems in 2016. This fellowship will fortify the study of dynamical networks, and in particular of the relation between network structure and emerging dynamics Thanks to the DTF, Giulia will get off to a flying start at the TU Delft. ‘This fellowship will fortify the study of dynamical networks, and in particular of the relation between network structure and emerging dynamics.’ Giulia says. ‘The novel insight I wish to achieve through my mathematical methods will help us not only design resilient and efficient interconnected systems in engineering, but also understand the behaviour of biological systems and ecological systems, thus enabling innovative biotechnologies that can improve human health and quality of life, and new strategies for environmental sustainability.’

Our mission

Our mission is to provide education and to perform research in systems and control, at an internationally recognized high level, from within a TUD-wide center that has a solid foundation in the faculty 3mE.  

In research we aim at contributing to fundamental aspects of dynamical systems and control as well as at advancing innovative and high-tech applications, in combination with relevant industrial and academic partners. In teaching we aim at creating a scientific climate where students can flourish to become independent and highly-skilled engineers and scientists.