@article{35571,
  author       = {{Schulze Darup, Moritz and Book, Gerrit and Quevedo, Daniel E. and Nagahara, Masaaki}},
  issn         = {{0018-9286}},
  journal      = {{IEEE Transactions on Automatic Control}},
  keywords     = {{Electrical and Electronic Engineering, Computer Science Applications, Control and Systems Engineering}},
  number       = {{10}},
  pages        = {{5416--5423}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Fast Hands-Off Control Using ADMM Real-Time Iterations}}},
  doi          = {{10.1109/tac.2021.3121255}},
  volume       = {{67}},
  year         = {{2021}},
}

@article{35572,
  author       = {{Schluter, Nils and Darup, Moritz Schulze}},
  issn         = {{0018-9286}},
  journal      = {{IEEE Transactions on Automatic Control}},
  keywords     = {{Electrical and Electronic Engineering, Computer Science Applications, Control and Systems Engineering}},
  number       = {{10}},
  pages        = {{5610--5613}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{On the Stability of Linear Dynamic Controllers With Integer Coefficients}}},
  doi          = {{10.1109/tac.2021.3131126}},
  volume       = {{67}},
  year         = {{2021}},
}

@article{35561,
  author       = {{Darup, Moritz Schulze}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  keywords     = {{Control and Systems Engineering}},
  number       = {{2}},
  pages        = {{3508--3514}},
  publisher    = {{Elsevier BV}},
  title        = {{{Encrypted MPC based on ADMM real-time iterations}}},
  doi          = {{10.1016/j.ifacol.2020.12.1708}},
  volume       = {{53}},
  year         = {{2021}},
}

@inproceedings{22894,
  abstract     = {{The first order optimality conditions of optimal control problems (OCPs) can
be regarded as boundary value problems for Hamiltonian systems. Variational or
symplectic discretisation methods are classically known for their excellent
long term behaviour. As boundary value problems are posed on intervals of
fixed, moderate length, it is not immediately clear whether methods can profit
from structure preservation in this context. When parameters are present,
solutions can undergo bifurcations, for instance, two solutions can merge and
annihilate one another as parameters are varied. We will show that generic
bifurcations of an OCP are preserved under discretisation when the OCP is
either directly discretised to a discrete OCP (direct method) or translated
into a Hamiltonian boundary value problem using first order necessary
conditions of optimality which is then solved using a symplectic integrator
(indirect method). Moreover, certain bifurcations break when a non-symplectic
scheme is used. The general phenomenon is illustrated on the example of a cut
locus of an ellipsoid.}},
  author       = {{Offen, Christian and Ober-Blöbaum, Sina}},
  issn         = {{2405-8963}},
  keywords     = {{optimal control, catastrophe theory, bifurcations, variational methods, symplectic integrators}},
  location     = {{Berlin, Germany}},
  pages        = {{334--339}},
  title        = {{{Bifurcation preserving discretisations of optimal control problems}}},
  doi          = {{https://doi.org/10.1016/j.ifacol.2021.11.099}},
  volume       = {{54(19)}},
  year         = {{2021}},
}

@inproceedings{29893,
  abstract     = {{Phase-shift modulated full bridge converters suffer from thermal imbalances of the inverter switches. The lagging leg switches are subject to larger commutation currents compared to those of the leading leg as the transformer current reduces in the freewheeling interval. Furthermore, after this interval, the energy in the series inductance may not be large enough to achieve zero-voltage switching (ZVS) for the leading leg. Both effects result in thermal imbalances. This paper analyzes the alternating-asymmetrical phase-shift modulation to achieve balanced conduction and switching losses for all four switches while showing that this modulation is easily implemented on standard DSPs. The modulation has been implemented to LLC converters where experimental measurement results proved its effectiveness for LLC converters by reducing the temperature deviation from 6.3 K to only 0.2 K such that the peak temperature is reduced from 95 °C to 92 °C. The paper also proves that the modulation can be utilized to improve the efficiency of LLC converters operated at very low gains while simultaneously reducing the junction temperature of all four switches compared to the conventional complementary modulation. Finally, EMI implications are analyzed, which show that the modulation may be beneficial for reducing the common-mode emissions around the operating frequency.}},
  author       = {{Rehlaender, Philipp and Unruh, Roland and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{2021 IEEE Applied Power Electronics Conference and Exposition (APEC)}},
  isbn         = {{978-1-7281-8950-5}},
  keywords     = {{Phase-Shifted Full Bridge, Full-Bridge Converter, Phase-Shift Control, Phase-Shift Modulation, LLC Converter, Thermal Balancing}},
  location     = {{Phoenix, AZ, USA}},
  publisher    = {{IEEE}},
  title        = {{{Alternating Asymmetrical Phase-Shift Modulation for Full-Bridge Converters with Balanced Switching Losses to Reduce Thermal Imbalances}}},
  doi          = {{10.1109/apec42165.2021.9487104}},
  year         = {{2021}},
}

@inproceedings{29899,
  abstract     = {{LLC resonant converters are typically unsuitable to be applied for wide voltage-transfer ratio applications. With a full-bridge inverter, however, they can be operated in a variety of different modulations. Most notably, by permanently turning on one MOSFET and turning off the other MOSFET of the same bridge leg, the LLC can be operated in half-bridge configuration reducing the gain by a factor of two. The resonant capacitor is hereby charged to an average voltage of half the input voltage. In this modulation, however, the switch that is permanently turned on is stressed by the complete resonant current while exhibiting no switching losses. This paper proves that the frequency-doubler modulation can better balance the losses among all MOSFETs and should be the preferred mode of operation favored over the conventional half-bridge modulation. This paper analyzes the beneficial loss distribution, proposes an on-the-fly morphing modulation and discusses potential operating strategies to further reduce the junction temperature. Furthermore, it is shown that this modulation can also be altered to achieve the asymmetrical LLC operation. Experimental measurement results show that the modulation results in a substantial decrease of the maximum MOSFET temperature and shows that the converter can be smoothly transitioned during operation from full-bridge modulation to the frequency-doubler half-bridge operation and back.}},
  author       = {{Rehlaender, Philipp and Unruh, Roland and Hankeln, Lars and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)}},
  isbn         = {{978-9-0758-1537-5}},
  keywords     = {{Resonant converter, High frequency power converter, Switched-mode power supply, Converter control, Control methods for electrical systems}},
  location     = {{Ghent, Belgium}},
  publisher    = {{IEEE}},
  title        = {{{Frequency-Doubler Modulation for Reduced Junction Temperatures for LLC Resonant Converters Operated in Half-Bridge Configuration}}},
  doi          = {{10.23919/EPE21ECCEEurope50061.2021.9570674}},
  year         = {{2021}},
}

@inproceedings{23465,
  abstract     = {{One of the main objectives of production engineering is to reproducibly manufacture (complex) defect-free parts. To achieve this, it is necessary to employ an appropriate process or tool design. While this will generally prove successful, it cannot, however, offset stochastic defects with local variations in material properties. Closed-loop process control represents a promising approach for a solution in this context. The state of the art involves using this approach to control geometric parameters such as a length. So far, no research or applications have been conducted with closed-loop control for microstructure and product properties. In the project on which this paper is based, the local martensite content of parts is to be adjusted in a highly precise and reproducible manner. The forming process employed is a special, property-controlled flow-forming process. A model-based controller is thus to generate corresponding correction values for the tool-path geometry and tool-path velocity on the basis of online martensite content measurements. For the controller model, it is planned to use a special process or microstructure (correlation) model. The planned paper not only describes the experimental setup but also presents results of initial experimental investigations for subsequent use in the closed-loop control of α’-martensite content during flow-forming.}},
  author       = {{Arian, Bahman and Homberg, Werner and Riepold, Markus and Trächtler, Ansgar and Rozo Vasquez, Julian and Walther, Frank}},
  isbn         = {{978-2-87019-302-0}},
  keywords     = {{Flow-forming, Spinning, Process Strategy, Martensite Content, Property Control, Micromagnetic Measurement, Metastable Austenitic Stainless Steel}},
  location     = {{Liège, Belgium}},
  publisher    = {{ULiège Library}},
  title        = {{{Forming of metastable austenitic stainless steel tubes with axially graded martensite content by flow-forming}}},
  year         = {{2021}},
}

@inproceedings{27111,
  abstract     = {{In the industry 4.0 era, there is a growing need to transform unstructured data acquired by a multitude of sources into information and subsequently into knowledge to improve the quality of manufactured products, to boost production, for predictive maintenance, etc. Data-driven approaches, such as machine learning techniques, are typically employed to model the underlying relationship from data. However, an increase in model accuracy with state-of-the-art methods, such as deep convolutional neural networks, results in less interpretability and transparency. Due to the ease of implementation, interpretation and transparency to both domain experts and non-experts, a rule-based method is proposed in this paper, for prognostics and health management (PHM) and specifically for diagnostics. The proposed method utilizes the most relevant sensor signals acquired via feature extraction and selection techniques and expert knowledge. As a case study, the presented method is evaluated on data from a real-world quality control set-up provided by the European prognostics and health management society (PHME) at the conference’s 2021 data challenge. With the proposed method, our team took the third place, capable of successfully diagnosing different fault modes, irrespective of varying conditions.}},
  author       = {{Aimiyekagbon, Osarenren Kennedy and Muth, Lars and Wohlleben, Meike Claudia and Bender, Amelie and Sextro, Walter}},
  booktitle    = {{Proceedings of the European Conference of the PHM Society 2021}},
  editor       = {{Do, Phuc and King, Steve and Fink, Olga}},
  keywords     = {{PHME 2021, Feature Selection Classification, Feature Selection Clustering, Interpretable Model, Transparent Model, Industry 4.0, Real-World Diagnostics, Quality Control, Predictive Maintenance}},
  number       = {{1}},
  pages        = {{527--536}},
  title        = {{{Rule-based Diagnostics of a Production Line}}},
  doi          = {{10.36001/phme.2021.v6i1.3042}},
  volume       = {{6}},
  year         = {{2021}},
}

@article{30033,
  author       = {{Stender, Marius and Wallscheid, Oliver and Böcker, Joachim}},
  issn         = {{0278-0046}},
  journal      = {{IEEE Transactions on Industrial Electronics}},
  keywords     = {{Electrical and Electronic Engineering, Control and Systems Engineering}},
  number       = {{9}},
  pages        = {{8646--8656}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives}}},
  doi          = {{10.1109/tie.2020.3018060}},
  volume       = {{68}},
  year         = {{2020}},
}

@article{35580,
  author       = {{Schulze Darup, Moritz}},
  issn         = {{1049-8923}},
  journal      = {{International Journal of Robust and Nonlinear Control}},
  keywords     = {{Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, General Chemical Engineering, Control and Systems Engineering}},
  number       = {{11}},
  pages        = {{4168--4187}},
  publisher    = {{Wiley}},
  title        = {{{Encrypted polynomial control based on tailored two‐party computation}}},
  doi          = {{10.1002/rnc.5003}},
  volume       = {{30}},
  year         = {{2020}},
}

@article{35585,
  author       = {{Lu, Jingyi and Leong, Alex S. and Quevedo, Daniel E.}},
  issn         = {{1049-8923}},
  journal      = {{International Journal of Robust and Nonlinear Control}},
  keywords     = {{Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, General Chemical Engineering, Control and Systems Engineering}},
  number       = {{11}},
  pages        = {{4205--4224}},
  publisher    = {{Wiley}},
  title        = {{{Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation}}},
  doi          = {{10.1002/rnc.4910}},
  volume       = {{30}},
  year         = {{2020}},
}

@article{33866,
  abstract     = {{<jats:p>Helhmoltz–Kirchhoff equations of motions of vortices of an incompressible fluid in the plane define a dynamics with singularities and this leads to a Zermelo navigation problem describing the ship travel in such a field where the control is the heading angle. Considering one vortex, we define a time minimization problem which can be analyzed with the technics of geometric optimal control combined with numerical simulations, the geometric frame being the extension of Randers metrics in the punctured plane, with rotational symmetry. Candidates as minimizers are parameterized thanks to the Pontryagin Maximum Principle as extremal solutions of a Hamiltonian vector field. We analyze the time minimal solution to transfer the ship between two points where during the transfer the ship can be either in a strong current region in the vicinity of the vortex or in a weak current region. The analysis is based on a micro-local classification of the extremals using mainly the integrability properties of the dynamics due to the rotational symmetry. The discussion is complex and related to the existence of an isolated extremal (Reeb) circle due to the vortex singularity. The explicit computation of cut points where the extremal curves cease to be optimal is given and the spheres are described in the case where at the initial point the current is weak.</jats:p>}},
  author       = {{Bonnard, Bernard and Cots, Olivier and Wembe Moafo, Boris Edgar}},
  issn         = {{1292-8119}},
  journal      = {{ESAIM: Control, Optimisation and Calculus of Variations}},
  keywords     = {{Computational Mathematics, Control and Optimization, Control and Systems Engineering}},
  publisher    = {{EDP Sciences}},
  title        = {{{A Zermelo navigation problem with a vortex singularity}}},
  doi          = {{10.1051/cocv/2020058}},
  volume       = {{27}},
  year         = {{2020}},
}

@inproceedings{13443,
  abstract     = {{This work considers the problem of control and resource allocation in networked
systems. To this end, we present DIRA a Deep reinforcement learning based Iterative Resource
Allocation algorithm, which is scalable and control-aware. Our algorithm is tailored towards
large-scale problems where control and scheduling need to act jointly to optimize performance.
DIRA can be used to schedule general time-domain optimization based controllers. In the present
work, we focus on control designs based on suitably adapted linear quadratic regulators. We
apply our algorithm to networked systems with correlated fading communication channels. Our
simulations show that DIRA scales well to large scheduling problems.}},
  author       = {{Redder, Adrian and Ramaswamy, Arunselvan and Quevedo, Daniel}},
  booktitle    = {{Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems}},
  keywords     = {{Networked control systems, deep reinforcement learning, large-scale systems, resource scheduling, stochastic control}},
  location     = {{Chicago, USA}},
  title        = {{{Deep reinforcement learning for scheduling in large-scale networked control systems}}},
  year         = {{2019}},
}

@article{35566,
  abstract     = {{<jats:title>Zusammenfassung</jats:title>
               <jats:p>Zukünftige Regelungskonzepte werden verstärkt auf Cloud-Computing und verteiltes Rechnen setzen. In den resultierenden vernetzten Regelungssystemen werden sensible Daten über öffentliche Netzwerke kommuniziert und auf Plattformen Dritter verarbeitet. Verschlüsselte Regelungen zielen darauf ab, die Vertraulichkeit dieser Daten im gesamten Regelkreis zu sichern. Um dieses Ziel zu erreichen, werden klassische Regelungsalgorithmen so modifiziert, dass sie verschlüsselte Regeleingriffe basierend auf verschlüsselten Systemzuständen berechnen. Zum Einsatz kommen dabei homomorphe Verschlüsselungsverfahren, die einfache mathematische Operationen auf verschlüsselten Daten ermöglichen. Der Artikel erläutert die Implementierung verschlüsselter Regelungen anhand von drei wegweisenden Realisierungen in der Cloud.</jats:p>}},
  author       = {{Schulze Darup, Moritz}},
  issn         = {{2196-677X}},
  journal      = {{at - Automatisierungstechnik}},
  keywords     = {{Electrical and Electronic Engineering, Computer Science Applications, Control and Systems Engineering}},
  number       = {{8}},
  pages        = {{668--681}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Verschlüsselte Regelung in der Cloud – Stand der Technik und offene Probleme}}},
  doi          = {{10.1515/auto-2019-0022}},
  volume       = {{67}},
  year         = {{2019}},
}

@article{35583,
  author       = {{Leong, Alex S. and Ramaswamy, Arunselvan and Quevedo, Daniel E. and Karl, Holger and Shi, Ling}},
  issn         = {{0005-1098}},
  journal      = {{Automatica}},
  keywords     = {{Electrical and Electronic Engineering, Control and Systems Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems}}},
  doi          = {{10.1016/j.automatica.2019.108759}},
  volume       = {{113}},
  year         = {{2019}},
}

@article{35584,
  author       = {{Ding, Kemi and Ren, Xiaoqiang and Quevedo, Daniel E. and Dey, Subhrakanti and Shi, Ling}},
  issn         = {{0005-1098}},
  journal      = {{Automatica}},
  keywords     = {{Electrical and Electronic Engineering, Control and Systems Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Defensive deception against reactive jamming attacks in remote state estimation}}},
  doi          = {{10.1016/j.automatica.2019.108680}},
  volume       = {{113}},
  year         = {{2019}},
}

@phdthesis{9994,
  abstract     = {{Reliability-adaptive systems allow an adaptation of system behavior based on current system reliability. They can extend their lifetime at the cost of lowered performance or vice versa. This can be used to adapt failure behavior according to a maintenance plan, thus increasing availability while using up system capability fully. To facilitate setup, a control algorithm independent of a degradation model is desired. A closed loop control technique for reliability based on a health index, a measure for system degradation, is introduced. It uses self-optimization as means to implement behavior adaptation. This is based on selecting the priorities of objectives that the system pursues. Possible working points are computed beforehand using model-based multiobjective optimization techniques. The controller selects the priorities of objectives and this way balances reliability and performance. As exemplary application, an automatically actuated single plate dry clutch is introduced. The entire reliability control is setup and lifetime experiments are conducted. Results show that the variance of time to failure is reduced greatly, making the failure behavior more predictable. At the same time, the desired usable lifetime can be extended at the cost of system performance to allow for changed maintenance intervals. Together, these possibilities allow for greater system usage and better planning of maintenance.}},
  author       = {{Meyer, Tobias}},
  keywords     = {{dependability, reliability, behavior adaptation, self-optimization, multiobjective optimization, optimal control, automotive drivetrain, clutch system, reliability-adaptive system}},
  publisher    = {{Shaker}},
  title        = {{{Optimization-based reliability control of mechatronic systems}}},
  year         = {{2018}},
}

@article{36481,
  abstract     = {{Recent studies highlight early childhood teachers’ mathematics-related competence. Developing this competence should be a main aspect of early childhood teachers’ education. This is, however, not the case in all countries. Consequently, high-quality professional development courses are needed. Based on research results, we developed a competence-oriented continuous professional development course ("EmMa") and examined the effects of "EmMa" by asking: How does "EmMa" affect the development of early childhood teachers’ i) mathematical content knowledge, ii) mathematical pedagogical content knowledge and iii) beliefs towards mathematics in general? To answer these questions, we conducted a pre-test/post-test study including a control group with 99 in-service early childhood teachers. Results show that the course affected teachers’ mathematical pedagogical content knowledge and static orientation towards mathematics positively. From this we conclude that scaling-up "EmMa" might be a suitable approach to bridge the gap between pre-service education with nearly no mathematics and the challenges of early mathematics education.}},
  author       = {{Bruns, Julia and Eichen, Lars and Gasteiger, Hedwig}},
  journal      = {{Mathematics Teacher Education and Development (MTED)}},
  keywords     = {{Beliefs, Competency Based Teacher Education, Control Groups, Early Childhood Education, Faculty Development, Foreign Countries, Inservice Teacher Education, Intervention, Mathematical Aptitude, Mathematics Skills, Pedagogical Content Knowledge, Preschool Teachers, Pretests Posttests, Professional Continuing Education, Statistical Analysis, Teacher Competency Testing}},
  number       = {{3}},
  pages        = {{76–93}},
  title        = {{{Mathematics-related Competence of Early Childhood Teachers Visiting a Continuous Professional Development Course: An Intervention Study}}},
  volume       = {{19}},
  year         = {{2017}},
}

@inproceedings{19,
  abstract     = {{Version Control Systems (VCS) are a valuable tool for software development
and document management. Both client/server and distributed (Peer-to-Peer)
models exist, with the latter (e.g., Git and Mercurial) becoming
increasingly popular. Their distributed nature introduces complications,
especially concerning security: it is hard to control the dissemination of
contents stored in distributed VCS as they rely on replication of complete
repositories to any involved user.

We overcome this issue by designing and implementing a concept for
cryptography-enforced access control which is transparent to the user. Use
of field-tested schemes (end-to-end encryption, digital signatures) allows
for strong security, while adoption of convergent encryption and
content-defined chunking retains storage efficiency. The concept is
seamlessly integrated into Mercurial---respecting its distributed storage
concept---to ensure practical usability and compatibility to existing
deployments.}},
  author       = {{Lass, Michael and Leibenger, Dominik and Sorge, Christoph}},
  booktitle    = {{Proc. 41st Conference on Local Computer Networks (LCN)}},
  isbn         = {{978-1-5090-2054-6}},
  keywords     = {{access control, distributed version control systems, mercurial, peer-to-peer, convergent encryption, confidentiality, authenticity}},
  publisher    = {{IEEE}},
  title        = {{{Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension}}},
  doi          = {{10.1109/lcn.2016.11}},
  year         = {{2016}},
}

@inproceedings{20719,
  author       = {{Holzinger, Philipp and Triller, Stefan and Bartel, Alexandre and Bodden, Eric}},
  booktitle    = {{Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security}},
  isbn         = {{978-1-4503-4139-4}},
  keywords     = {{ATTRACT, access control, exploits, java security, security analysis, ITSECWEBSITE}},
  pages        = {{779--790}},
  title        = {{{An In-Depth Study of More Than Ten Years of Java Exploitation}}},
  doi          = {{http://doi.acm.org/10.1145/2976749.2978361}},
  year         = {{2016}},
}