@article{35578,
  author       = {{Faulwasser, Timm and Lucia, Sergio and Schulze Darup, Moritz and Mönnigmann, Martin}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  keywords     = {{Control and Systems Engineering}},
  number       = {{6}},
  pages        = {{238--243}},
  publisher    = {{Elsevier BV}},
  title        = {{{Teaching MPC: Which Way to the Promised Land?}}},
  doi          = {{10.1016/j.ifacol.2021.08.551}},
  volume       = {{54}},
  year         = {{2021}},
}

@inbook{35579,
  author       = {{Schulze Darup, Moritz and Book, Gerrit}},
  booktitle    = {{Recent Advances in Model Predictive Control}},
  isbn         = {{9783030632809}},
  issn         = {{0170-8643}},
  publisher    = {{Springer International Publishing}},
  title        = {{{On Closed-Loop Dynamics of ADMM-Based MPC}}},
  doi          = {{10.1007/978-3-030-63281-6_5}},
  year         = {{2021}},
}

@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{35555,
  author       = {{Schluter, Nils and Schulze Darup, Moritz}},
  booktitle    = {{2020 59th IEEE Conference on Decision and Control (CDC)}},
  publisher    = {{IEEE}},
  title        = {{{Encrypted explicit MPC based on two-party computation and convex controller decomposition}}},
  doi          = {{10.1109/cdc42340.2020.9304078}},
  year         = {{2021}},
}

@article{35589,
  author       = {{Dragicevic, Tomislav and Parisio, Alessandra and Rodriguez, Jose and Jones, Colin and Quevedo, Daniel and Ferrarini, Luca and Preindl, Matthias and Shafiee, Qobad and Morstyn, Thomas}},
  issn         = {{0885-8969}},
  journal      = {{IEEE Transactions on Energy Conversion}},
  keywords     = {{Electrical and Electronic Engineering, Energy Engineering and Power Technology}},
  number       = {{2}},
  pages        = {{1311--1312}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Guest Editorial Model Predictive Control in Energy Conversion Systems}}},
  doi          = {{10.1109/tec.2021.3076279}},
  volume       = {{36}},
  year         = {{2021}},
}

@unpublished{35588,
  abstract     = {{We consider the joint design of control and scheduling under stochastic
Denial-of-Service (DoS) attacks in the context of networked control systems. A
sensor takes measurements of the system output and forwards its dynamic state
estimates to a remote controller over a packet-dropping link. The controller
determines the optimal control law for the process using the estimates it
receives. An attacker aims at degrading the control performance by increasing
the packet-dropout rate with a DoS attack towards the sensor-controller
channel. We assume both the controller and the attacker are rational in a
game-theoretic sense and establish a partially observable stochastic game to
derive the optimal joint design of scheduling and control. Using dynamic
programming we prove that the control and scheduling policies can be designed
separately without sacrificing optimality, making the problem equivalent to a
complete information game. We employ Nash Q-learning to solve the problem and
prove that the solution is guaranteed to constitute an $\epsilon$-Nash
equilibrium. Numerical examples are provided to illustrate the tradeoffs
between control performance and communication cost.}},
  author       = {{Lu, Jingyi and Quevedo, Daniel E.}},
  booktitle    = {{arXiv:2103.05893}},
  title        = {{{A Jointly Optimal Design of Control and Scheduling in Networked Systems  under Denial-of-Service Attacks}}},
  year         = {{2021}},
}

@article{34818,
  author       = {{Hanusch, Maximilian}},
  issn         = {{0926-2245}},
  journal      = {{Differential Geometry and its Applications}},
  keywords     = {{Geometry and Topology, Analysis}},
  publisher    = {{Elsevier BV}},
  title        = {{{Symmetries of analytic curves}}},
  doi          = {{10.1016/j.difgeo.2020.101687}},
  volume       = {{74}},
  year         = {{2021}},
}

@misc{32401,
  author       = {{Siemer, Jan Niklas}},
  title        = {{{Lattice reductions and their applications to cryptographic systems}}},
  year         = {{2021}},
}

@misc{32400,
  author       = {{Anonymous, Anonymous}},
  title        = {{{Performance Analysis of FHE Libraries}}},
  year         = {{2021}},
}

@techreport{35889,
  abstract     = {{Network and service coordination is important to provide modern services consisting of multiple interconnected components, e.g., in 5G, network function virtualization (NFV), or cloud and edge computing. In this paper, I outline my dissertation research, which proposes six approaches to automate such network and service coordination. All approaches dynamically react to the current demand and optimize coordination for high service quality and low costs. The approaches range from centralized to distributed methods and from conventional heuristic algorithms and mixed-integer linear programs to machine learning approaches using supervised and reinforcement learning. I briefly discuss their main ideas and advantages over other state-of-the-art approaches and compare strengths and weaknesses.}},
  author       = {{Schneider, Stefan Balthasar}},
  keywords     = {{nfv, coordination, machine learning, reinforcement learning, phd, digest}},
  title        = {{{Conventional and Machine Learning Approaches for Network and Service Coordination}}},
  year         = {{2021}},
}

@inbook{35752,
  author       = {{Frischemeier, Daniel and Podworny, Susanne and Biehler, Rolf}},
  booktitle    = {{Konzepte und Studien Lehrinnovationen in der Hochschulmathematik . Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematikzur Hochschuldidaktik und Lehrerbildung Mathematik}},
  editor       = {{Biehler, Rolf and Eichler, Andreas and Hochmuth, Reinhard and Rach, Stefanie and Schaper, Niclas}},
  isbn         = {{9783662628539}},
  issn         = {{2197-8751}},
  pages        = {{227--249}},
  publisher    = {{Springer Spektrum}},
  title        = {{{Integration fachwissenschaftlicher und fachdidaktischer Komponenten in der Lehramtsausbildung Mathematik Grundschule am Beispiel einer Veranstaltung zur Leitidee „Daten, Häufigkeit und Wahrscheinlichkeit“}}},
  doi          = {{10.1007/978-3-662-62854-6_11}},
  year         = {{2021}},
}

@inproceedings{47605,
  abstract     = {{In diesem Beitrag werden die Elemente „Begleitseminar“ und „Begleitforschungsseminar“ des Praxissemesters für Lehramtsstudierende der beruflichen Fachrichtungen Maschinenbautechnik und Elektrotechnik an der Universität Paderborn im Hinblick auf die Veränderungen durch die Covid-19-Pandemie erläutert.}},
  author       = {{Jonas-Ahrend, Gabriela and Vernholz, Mats and Temmen, Katrin}},
  location     = {{Osnabrück}},
  title        = {{{Digitale Begleitseminare im Praxissemester der gewerblich-technischen Fachrichtungen}}},
  year         = {{2021}},
}

@article{46318,
  abstract     = {{Multi-objective (MO) optimization, i.e., the simultaneous optimization of multiple conflicting objectives, is gaining more and more attention in various research areas, such as evolutionary computation, machine learning (e.g., (hyper-)parameter optimization), or logistics (e.g., vehicle routing). Many works in this domain mention the structural problem property of multimodality as a challenge from two classical perspectives: (1) finding all globally optimal solution sets, and (2) avoiding to get trapped in local optima. Interestingly, these streams seem to transfer many traditional concepts of single-objective (SO) optimization into claims, assumptions, or even terminology regarding the MO domain, but mostly neglect the understanding of the structural properties as well as the algorithmic search behavior on a problem’s landscape. However, some recent works counteract this trend, by investigating the fundamentals and characteristics of MO problems using new visualization techniques and gaining surprising insights. Using these visual insights, this work proposes a step towards a unified terminology to capture multimodality and locality in a broader way than it is usually done. This enables us to investigate current research activities in multimodal continuous MO optimization and to highlight new implications and promising research directions for the design of benchmark suites, the discovery of MO landscape features, the development of new MO (or even SO) optimization algorithms, and performance indicators. For all these topics, we provide a review of ideas and methods but also an outlook on future challenges, research potential and perspectives that result from recent developments.}},
  author       = {{Grimme, Christian and Kerschke, Pascal and Aspar, Pelin and Trautmann, Heike and Preuss, Mike and Deutz, André H. and Wang, Hao and Emmerich, Michael}},
  issn         = {{0305-0548}},
  journal      = {{Computers & Operations Research}},
  keywords     = {{Multimodal optimization, Multi-objective continuous optimization, Landscape analysis, Visualization, Benchmarking, Theory, Algorithms}},
  pages        = {{105489}},
  title        = {{{Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization}}},
  doi          = {{https://doi.org/10.1016/j.cor.2021.105489}},
  volume       = {{136}},
  year         = {{2021}},
}

@inproceedings{46311,
  abstract     = {{In this work we examine the inner mechanisms of the recently developed sophisticated local search procedure SOMOGSA. This method solves multimodal single-objective continuous optimization problems by first expanding the problem with an additional objective (e.g., a sphere function) to the bi-objective space, and subsequently exploiting local structures and ridges of the resulting landscapes. Our study particularly focusses on the sensitivity of this multiobjectivization approach w.r.t. (i) the parametrization of the artificial second objective, as well as (ii) the position of the initial starting points in the search space.

As SOMOGSA is a modular framework for encapsulating local search, we integrate Gradient and Nelder-Mead local search (as optimizers in the respective module) and compare the performance of the resulting hybrid local search to their original single-objective counterparts. We show that the SOMOGSA framework can significantly boost local search by multiobjectivization. Combined with more sophisticated local search and metaheuristics this may help in solving highly multimodal optimization problems in future.}},
  author       = {{Aspar, Pelin and Kerschke, Pascal and Steinhoff, Vera and Trautmann, Heike and Grimme, Christian}},
  booktitle    = {{Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings}},
  editor       = {{et al. Ishibuchi, H.}},
  pages        = {{311–322}},
  publisher    = {{Springer}},
  title        = {{{Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization}}},
  doi          = {{10.1007/978-3-030-72062-9_25}},
  year         = {{2021}},
}

@article{46317,
  abstract     = {{One of the most significant recent technological developments concerns the development and implementation of ‘intelligent machines’ that draw on recent advances in artificial intelligence (AI) and robotics. However, there are growing tensions between human freedoms and machine controls. This article reports the findings of a workshop that investigated the application of the principles of human freedom throughout intelligent machine development and use. Forty IS researchers from ten different countries discussed four contemporary AI and humanity issues and the most relevant IS domain challenges. This article summarizes their experiences and opinions regarding four AI and humanity themes: Crime & conflict, Jobs, Attention, and Wellbeing. The outcomes of the workshop discussions identify three attributes of humanity that need preservation: a critique of the design and application of AI, and the intelligent machines it can create; human involvement in the loop of intelligent machine decision-making processes; and the ability to interpret and explain intelligent machine decision-making processes. The article provides an agenda for future AI and humanity research.}},
  author       = {{Coombs, Crispin and Stacey, Patrick and Kawalek, Peter and Simeonova, Boyka and Becker, Jörg and Bergener, Katrin and Carvalho, João Álvaro and Fantinato, Marcelo and Garmann-Johnsen, Niels F. and Grimme, Christian and Stein, Armin and Trautmann, Heike}},
  journal      = {{International Journal of Information Management}},
  title        = {{{What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective}}},
  doi          = {{10.1016/j.ijinfomgt.2021.102311}},
  volume       = {{58}},
  year         = {{2021}},
}

@inproceedings{24000,
  author       = {{Heitkaemper, Jens and Schmalenstroeer, Joerg and Ion, Valentin and Haeb-Umbach, Reinhold}},
  booktitle    = {{Speech Communication; 14th ITG-Symposium}},
  pages        = {{1--5}},
  title        = {{{A Database for Research on Detection and Enhancement of Speech Transmitted over HF links}}},
  year         = {{2021}},
}

@article{45381,
  author       = {{Dröse, Jennifer and Prediger, S. and Neugebauer, P. and Danhier, R. D. and Mertins, B.}},
  journal      = {{International Electronic Journal of Mathematics Education, 16(1), em0625}},
  title        = {{{Investigating students' processes of noticing and interpreting syntactic language features in word problem solving through eye-tracking}}},
  doi          = {{doi.org/10.29333/iejme/9674n }},
  year         = {{2021}},
}

@article{45380,
  author       = {{Dröse, Jennifer and Prediger, S.}},
  journal      = {{Studies in Educational Evaluation, 68 (100953)}},
  pages        = {{1--15}},
  title        = {{{Identifying obstacles is not enough for everybody – Differential efficacy of an intervention fostering fifth graders’ comprehension for word problems}}},
  doi          = {{doi.org/10.1016/j.stueduc.2020.100953}},
  year         = {{2021}},
}

