Control systems are getting more and more complex and solving control tasks increasingly relies on interdisciplinary approaches combining elements from mechatronics and cybernetics. Against this background, we aim for tailored control schemes that address the special needs of such cyberphysical systems. In particular, we design networked and autonomous control systems involving numerical optimization, machine learning, and cybersecurity.
Cloud-computing and distributed computing are becoming ubiquitous in modern control systems such as smart grids, building automation, robot swarms, or intelligent transportation systems. While cloud-based and distributed control schemes offer many opportunities, they also increase the risk of cyberattacks. In fact, the involved communication and evaluation of sensitive data via public networks and on thirdparty platforms promote eavesdropping and manipulation of data. Future control schemes should counteract those threats and ensure confidentiality and integrity of the involved data. We address these needs with tailored control schemes that combine methods from cryptography, numerical optimization, and control.
Applied encrypted control for critical infrastructure (Aperitif)
Encrypted optimization-based control for networked systems (EpicNets)
N. Schlüter and M. Schulze Darup, Novel convex decomposition of piecewise affine functions, in Proc. of the IFAC World Congress, 2020.
M. Schulze Darup, Exact representation of piecewise affine functions via neural networks, in Proc. of the 2020 European Control Conference (ECC), pp. 1073-1078, 2020. DOI: 10.23919/ECC51009.2020.9143957
Model predictive control (MPC) is one of the most powerful, widely-used, and well-studied control schemes. Its underlying idea can be traced back to the 60s. Since then, countless successful applications and theoretical improvements have been reported. Nevertheless, the theory for MPC is far from complete and novel variants and implementations pop up regurlarly. We contribute structural insights on linear and nonlinear MPC, fast real-time implementations, and secure controller evaluations.
M. Schulze Darup, M. Klädtke, and M. Mönnigmann, Exact solution to a special class of nonlinear MPC problems, 7th IFAC Conference on Nonlinear Model Predictive Control (NMPC), 2021 (submitted).
M. Schulze Darup, G. Book, and P. Giselsson, Towards real-time ADMM for linear MPC, in Proc. of the 2019 European Control Conference, pp. 4276-4282, 2019. DOI: 10.23919/ECC.2019.8796239
M. Schulze Darup and M. Cannon, Some observations on the activity of terminal constraints in linear MPC, in Proc. of the 2016 European Control Conference, pp. 770-775, 2016. DOI: 10.1109/ECC.2016.7810382
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Location & approach
The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is "Dortmund-Eichlinghofen" (closer to Campus Süd), and from B 1 / A 40 "Dortmund-Dorstfeld" (closer to Campus Nord). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dortmund.
To get from Campus Nord to Campus Süd by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at Campus Nord and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.
TU Dortmund University has its own train station ("Dortmund Universität"). From there, suburban trains (S-Bahn) leave for Dortmund main station ("Dortmund Hauptbahnhof") and Düsseldorf main station via the "Düsseldorf Airport Train Station" (take S-Bahn number 1, which leaves every 20 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.
You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station "Stadtgarten", usually lines U41, U45, U 47 and U49. At "Stadtgarten" you switch trains and get on line U42 towards "Hombruch". Look out for the Station "An der Palmweide". From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop "Dortmund Kampstraße". From there, take U43 or U44 to the stop "Dortmund Wittener Straße". Switch to bus line 447 and get off at "Dortmund Universität S".
The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.
The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on Campus Nord. One ("Dortmund Universität S") is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the "Technologiepark" and (via Campus Süd) Eichlinghofen. The other station is located at the dining hall at Campus Nord and offers a direct connection to Campus Süd every five minutes.
The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".Zum Lageplan
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