@article{53212,
  author       = {{Mahmoodi, Ehsan and Fathi, Masood and Tavana, Madjid and Ghobakhloo, Morteza and Ng, Amos H.C.}},
  issn         = {{0278-6125}},
  journal      = {{Journal of Manufacturing Systems}},
  keywords     = {{Industrial and Manufacturing Engineering, Hardware and Architecture, Software, Control and Systems Engineering}},
  pages        = {{287--307}},
  publisher    = {{Elsevier BV}},
  title        = {{{Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing}}},
  doi          = {{10.1016/j.jmsy.2023.11.019}},
  volume       = {{72}},
  year         = {{2024}},
}

@article{47800,
  abstract     = {{<jats:p>The introduction of Systems Engineering is an approach for dealing with the increasing complexity of products and their associated product development. Several introduction strategies are available in the literature; nevertheless, the introduction of Systems Engineering into practice still poses a great challenge to companies. Many companies have already gained experience in the introduction of Systems Engineering. Therefore, as part of the SE4OWL research project, the need to conduct a study including expert interviews and to collect the experiences of experts was identified. A total of 78 hypotheses were identified from 13 expert interviews concerning the lessons learned. Using exclusion criteria, 52 hypotheses were validated in a subsequent quantitative survey with 112 participants. Of these 52 hypotheses, 40 could be confirmed based on the survey results. Only four hypotheses were rejected, and eight could neither be confirmed nor rejected. Through this research, guidance is provided to companies to leverage best practices for the introduction of their own Systems Engineering and to avoid the poor practices of other companies.</jats:p>}},
  author       = {{Wilke, Daria and Grothe, Robin and Bretz, Lukas and Anacker, Harald and Dumitrescu, Roman}},
  issn         = {{2079-8954}},
  journal      = {{Systems}},
  keywords     = {{Information Systems and Management, Computer Networks and Communications, Modeling and Simulation, Control and Systems Engineering, Software}},
  number       = {{3}},
  publisher    = {{MDPI AG}},
  title        = {{{Lessons Learned from the Introduction of Systems Engineering}}},
  doi          = {{10.3390/systems11030119}},
  volume       = {{11}},
  year         = {{2023}},
}

@article{48059,
  author       = {{Winkel, Fabian and Wallscheid, Oliver and Scholz, Peter and Böcker, Joachim}},
  issn         = {{2644-1284}},
  journal      = {{IEEE Open Journal of the Industrial Electronics Society}},
  keywords     = {{Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Control and Systems Engineering}},
  pages        = {{1--14}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays}}},
  doi          = {{10.1109/ojies.2023.3323870}},
  year         = {{2023}},
}

@article{53229,
  author       = {{Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid and Tena, Emilio Cerda}},
  issn         = {{1063-6706}},
  journal      = {{IEEE Transactions on Fuzzy Systems}},
  keywords     = {{Applied Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering}},
  number       = {{2}},
  pages        = {{460--474}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making With Application to Sustainable Transportation}}},
  doi          = {{10.1109/tfuzz.2022.3188875}},
  volume       = {{31}},
  year         = {{2023}},
}

@article{53228,
  author       = {{Tirkolaee, Erfan Babaee and Torkayesh, Ali Ebadi and Tavana, Madjid and Goli, Alireza and Simic, Vladimir and Ding, Weiping}},
  issn         = {{0952-1976}},
  journal      = {{Engineering Applications of Artificial Intelligence}},
  keywords     = {{Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{An integrated decision support framework for resilient vaccine supply chain network design}}},
  doi          = {{10.1016/j.engappai.2023.106945}},
  volume       = {{126}},
  year         = {{2023}},
}

@article{53543,
  author       = {{Winkel, Fabian and Scholz, Peter and Wallscheid, Oliver and Böcker, Joachim}},
  issn         = {{1545-5955}},
  journal      = {{IEEE Transactions on Automation Science and Engineering}},
  keywords     = {{Electrical and Electronic Engineering, Control and Systems Engineering}},
  pages        = {{1--11}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time}}},
  doi          = {{10.1109/tase.2023.3322762}},
  year         = {{2023}},
}

@article{44382,
  abstract     = {{<jats:p>The success of engineering complex technical systems is determined by meeting customer requirements and institutional regulations. One example relevant to the automobile industry is the United Nations Economic Commission of Europe (UN ECE), which specifies the homologation of automobile series and requires proof of traceability. The required traceability can be achieved by modeling system artifacts and their relations in a consistent, seamless model—an effect-chain model. Currently, no in-depth methodology exists to support engineers in developing certification-compliant effect-chain models. For this purpose, a new methodology for certification-compliant effect-chain modeling was developed, which includes extensions of an existing method, suitable models, and tools to support engineers in the modeling process. For evaluation purposes, applicability is proven based on the experience of more than 300 workshops at an automotive OEM and an automotive supplier. The following case example is chosen to demonstrate applicability: the development of a window lifter that has to meet the demands of UN ECE Regulations R156 and R21. Results indicate multiple benefits in supporting engineers with the certification-compliant modeling of effect chains. Three benefits are goal-oriented modeling to reduce the necessary modeling capacity, increasing model quality by applying information quality criteria, and the potential to reduce costs through automatable effect-chain analyses for technical changes. Further, companies in the automotive and other industries will benefit from increased modeling capabilities that can be used for architecture modeling and to comply with other regulations such as ASPICE or ISO 26262.</jats:p>}},
  author       = {{Gräßler, Iris and Wiechel, Dominik and Koch, Anna-Sophie and Sturm, Tim and Markfelder, Thomas}},
  issn         = {{2079-8954}},
  journal      = {{Systems}},
  keywords     = {{Information Systems and Management, Computer Networks and Communications, Modeling and Simulation, Control and Systems Engineering, Software}},
  number       = {{3}},
  publisher    = {{MDPI AG}},
  title        = {{{Methodology for Certification-Compliant Effect-Chain Modeling}}},
  doi          = {{10.3390/systems11030154}},
  volume       = {{11}},
  year         = {{2023}},
}

@article{44312,
  abstract     = {{<jats:title>Zusammenfassung</jats:title>
               <jats:p>Aufgrund aktueller Transformationsprozesse kommt der automatisierten und ressourceneffizienten Fertigung hochfester Leichtbauteile eine steigende Bedeutung zu, beispielsweise im Flugzeug- und Fahrzeugbau. Für kleine Losgrößen bietet sich hier insbesondere das Fertigungsverfahren des Drückwalzens an. Der konventionelle, industriell genutzte Drückwalzprozess stößt allerdings aufgrund der Prozesskomplexität hinsichtlich der Reproduzierbarkeit an seine Grenzen. Dies wird in der Praxis teilweise durch personengebundenes Erfahrungswissen kompensiert. Auch ist es nicht möglich, Bauteileigenschaften definiert einzustellen. Aus diesem Grund bietet der Einsatz einer neuartigen Eigenschaftsregelung Chancen zur Weiterentwicklung des Fertigungsprozesses und die Möglichkeit zur Prozessautomatisierung. Hier werden die Werkzeugbahnen abhängig einer Online-Eigenschaftsmessung über eine zusätzliche Reglerkaskade manipuliert. Die Entwicklung einer solchen Eigenschaftsregelung erfordert den Einsatz geeigneter, modellbasierter Entwurfsmethoden. In diesem Beitrag wird daher ein regelungstechnisches Systemmodell für das Drückwalzen metastabiler austenitischer Edelstähle vorgestellt. Das Simulationsmodell weist aufgrund seiner Echtzeitfähigkeit neben dem Einsatz als reines Entwurfsmodell weitere Nutzungsmöglichkeiten z.B. in Beobachtern auf und grenzt sich somit von domänenspezifischen Simulationstools wie der FEM ab.</jats:p>}},
  author       = {{Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  issn         = {{0178-2312}},
  journal      = {{at - Automatisierungstechnik}},
  keywords     = {{Electrical and Electronic Engineering, Computer Science Applications, Control and Systems Engineering}},
  number       = {{1}},
  pages        = {{68--81}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte Bauteilfertigung}}},
  doi          = {{10.1515/auto-2022-0106}},
  volume       = {{71}},
  year         = {{2023}},
}

@article{34414,
  abstract     = {{Given a steadily increasing demand on multi-material lightweight designs, fast and cost-efficient production technologies, such as the mechanical joining process clinching, are becoming more and more relevant for series production. Since the application of such joining techniques often base on the ability to reach similar or even better joint loading capacities compared to established joining processes (e.g., spot welding), few contributions investigated the systematic improvement of clinch joint characteristics. In this regard, the use of data-driven methods in combination with optimization algorithms showed already high potentials for the analysis of individual joints and the definition of optimal tool configurations. However, the often missing consideration of uncertainties, such as varying material properties, and the related calculation of their impact on clinch joint properties can lead to poor estimation results and thus to a decreased reliability of the entire joint connection. This can cause major challenges, especially for the design and dimensioning of safety-relevant components, such as in car bodies. Motivated by this, the presented contribution introduces a novel method for the robust estimation of clinch joint characteristics including uncertainties of varying and versatile process chains in mechanical joining. Therefore, the utilization of Gaussian process regression models is demonstrated and evaluated regarding the ability to achieve sufficient prediction qualities.}},
  author       = {{Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}},
  issn         = {{0268-3768}},
  journal      = {{The International Journal of Advanced Manufacturing Technology}},
  keywords     = {{Industrial and Manufacturing Engineering, Computer Science Applications, Mechanical Engineering, Software, Control and Systems Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Robust estimation of clinch joint characteristics based on data-driven methods}}},
  doi          = {{10.1007/s00170-022-10441-7}},
  year         = {{2022}},
}

@article{34046,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{2168-2291}},
  journal      = {{IEEE Transactions on Human-Machine Systems}},
  keywords     = {{Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Signal Processing, Control and Systems Engineering, Human Factors and Ergonomics}},
  pages        = {{1--11}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers' Use of Cruise Control}}},
  doi          = {{10.1109/thms.2022.3212335}},
  year         = {{2022}},
}

@article{35586,
  author       = {{Protte, Marius and Fahr, Rene and Quevedo, Daniel E.}},
  issn         = {{1066-033X}},
  journal      = {{IEEE Control Systems}},
  keywords     = {{Electrical and Electronic Engineering, Modeling and Simulation, Control and Systems Engineering, Electrical and Electronic Engineering, Modeling and Simulation, Control and Systems Engineering}},
  number       = {{6}},
  pages        = {{57--76}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy}}},
  doi          = {{10.1109/mcs.2020.3019723}},
  volume       = {{40}},
  year         = {{2022}},
}

@article{33869,
  author       = {{Bonnard, B. and Cots, O. and Gergaud, J. and Wembe Moafo, Boris Edgar}},
  issn         = {{0167-6911}},
  journal      = {{Systems &amp; Control Letters}},
  keywords     = {{Electrical and Electronic Engineering, Mechanical Engineering, General Computer Science, Control and Systems Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Abnormal geodesics in 2D-Zermelo navigation problems in the case of revolution and the fan shape of the small time balls}}},
  doi          = {{10.1016/j.sysconle.2022.105140}},
  volume       = {{161}},
  year         = {{2022}},
}

@article{33982,
  author       = {{Koppert, Steven and Henke, Christian and Trächtler, Ansgar and Möhringer, Stefan}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  keywords     = {{Control and Systems Engineering}},
  number       = {{2}},
  pages        = {{554--560}},
  publisher    = {{Elsevier BV}},
  title        = {{{Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data}}},
  doi          = {{10.1016/j.ifacol.2022.04.252}},
  volume       = {{55}},
  year         = {{2022}},
}

@article{50071,
  author       = {{Junker, Annika and Timmermann, Julia and Trächtler, Ansgar}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  keywords     = {{Control and Systems Engineering}},
  number       = {{12}},
  pages        = {{389--394}},
  publisher    = {{Elsevier BV}},
  title        = {{{Learning Data-Driven PCHD Models for Control Engineering Applications*}}},
  doi          = {{10.1016/j.ifacol.2022.07.343}},
  volume       = {{55}},
  year         = {{2022}},
}

@article{29543,
  author       = {{Djema, Walid and Giraldi, Laetitia and Maslovskaya, Sofya and Bernard, Olivier}},
  issn         = {{0005-1098}},
  journal      = {{Automatica}},
  keywords     = {{Electrical and Electronic Engineering, Control and Systems Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Turnpike features in optimal selection of species represented by quota models}}},
  doi          = {{10.1016/j.automatica.2021.109804}},
  volume       = {{132}},
  year         = {{2021}},
}

@article{33658,
  abstract     = {{<jats:p>We demonstrate how to fully ascribe Raman peaks simulated using ab initio molecular dynamics to specific vibrations in the structure at finite temperatures by means of Wannier functions. Here, we adopt our newly introduced method for the simulation of the Raman spectra in which the total polarizability of the system is expressed as a sum over Wannier polarizabilities. The assignment is then based on the calculation of partial Raman activities arising from self- and/or cross-correlations between different types of Wannier functions in the system. Different types of Wannier functions can be distinguished based on their spatial spread. To demonstrate the predictive power of this approach, we applied it to the case of a cyclohexane molecule in the gas phase and were able to fully assign the simulated Raman peaks.</jats:p>}},
  author       = {{Partovi-Azar, Pouya and Kühne, Thomas}},
  issn         = {{2072-666X}},
  journal      = {{Micromachines}},
  keywords     = {{Electrical and Electronic Engineering, Mechanical Engineering, Control and Systems Engineering}},
  number       = {{10}},
  publisher    = {{MDPI AG}},
  title        = {{{Full Assignment of Ab-Initio Raman Spectra at Finite Temperatures Using Wannier Polarizabilities: Application to Cyclohexane Molecule in Gas Phase}}},
  doi          = {{10.3390/mi12101212}},
  volume       = {{12}},
  year         = {{2021}},
}

@article{35575,
  author       = {{Schulze Darup, Moritz and Alexandru, Andreea B. and Quevedo, Daniel E. and Pappas, George J.}},
  issn         = {{1066-033X}},
  journal      = {{IEEE Control Systems}},
  keywords     = {{Electrical and Electronic Engineering, Modeling and Simulation, Control and Systems Engineering, Electrical and Electronic Engineering, Modeling and Simulation, Control and Systems Engineering}},
  number       = {{3}},
  pages        = {{58--78}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges}}},
  doi          = {{10.1109/mcs.2021.3062956}},
  volume       = {{41}},
  year         = {{2021}},
}

@article{35576,
  author       = {{Schulze Darup, Moritz and Klädtke, Manuel and Mönnigmann, Martin}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  keywords     = {{Control and Systems Engineering}},
  number       = {{6}},
  pages        = {{290--295}},
  publisher    = {{Elsevier BV}},
  title        = {{{Exact solution to a special class of nonlinear MPC problems}}},
  doi          = {{10.1016/j.ifacol.2021.08.559}},
  volume       = {{54}},
  year         = {{2021}},
}

@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}},
}

@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}},
}