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Dynamical Modeling and Control of Multiphase Heat Transport Systems Based on Loop Heat Pipes
Effective heat transport systems in aerospace are based on multiphase loop heat pipes (LHPs). For a precise thermal control of the electronics, electrical heaters are additionally used to control the operating temperature of the LHP. This work focusses on the dynamical modeling and model-based control design for LHP-based heat transport systems. The results of this work can be used for the optimization of current control parameters and the efficient control design for future LHP applications.
Self-Learning Longitudinal Control for On-Road Vehicles
Reinforcement Learning is a promising tool to automate controller tuning. However, significant extensions are required for real-world applications to enable fast and robust learning. This work proposes several additions to the state of the art and proves their capability in a series of real world experiments.
Transactive Control of Coupled Electric Power and District Heating Networks
Der Entwurf von Ansätzen zur marktbasierten Betriebsführung zukünftiger Energienetze steht vor der technischen Herausforderung, eine enorme Anzahl von Netzteilnehmern zeitlich und örtlich zu koordinieren, um Erzeugung und Verbrauch auszugleichen und einen sicheren Netzbetrieb zu ermöglichen. Um dieser Herausforderung zu begegnen entstand das Forschungsfeld der Transactive Control Ansätze. In dieser Arbeit wird ein neuer Transactive Control Ansatz für gekoppelte Strom- und Wärmenetze vorgestellt. - The design of approaches for future market-based energy network operation faces the technical challenge of needing to coordinate a vast number of network participants spatially and temporally, in order to balance energy supply and demand, while achieving secure network operation. To meet this challenge, the research field of transactive control emerged. Within this work a new transactive control approach for coupled electric power and district heating networks is presented.
Life Cycle Design & Engineering of Lightweight Multi-Material Automotive Body Parts
This book presents the final report of the collaborative research project "MultiMaK2": MultiMaK2 contributed to the development of multi-material component concepts in large-scale automotive production. Whithin the project new methods in conceptual design of lightweight components were developed at the example of roof cross member and transmission tunnels. A concurrent Life Cycle Design & Engineering approach led to identifying eco- and cost efficient component alternatives. This includes evaluation tools for the concepts' full life cycle. Further, methods to integrate that knowledge into automotive engineering processes have been established based on principles of visual analytics. That brings forward a tight integration of data, engineering models and results visualization towards an informed knowledge building across disciplines. MultiMaK2 also compiled and structured design guidelines within a knowledge management system. All methods and tools have been embedded within the Life Cycle Design & Engineering Lab in the Open Hybrid LabFactory.
Limited Information Shared Control and its Applications to Large Vehicle Manipulators
This work focuses on the Limited Information Shared Control and its controller design using potential games. Through the developed systematic controller design, the experiments demonstrate the effectiveness and superiority of this concept compared to traditional manual and non-cooperative control approaches in the application of large vehicle manipulators.
2006
Kürschners Musiker-Handbuch verzeichnet mehr als 12.000 lebende professionelle Musikschaffende der E-Musik. Aufgenommen werden Komponistinnen und Komponisten, Dirigentinnen und Dirigenten, Instrumentalsolistinnen und -solisten, Sängerinnen und Sänger sowie Professorinnen und Professoren mit Schaffensschwerpunkt im deutschsprachigen Raum. Die einzelnen Einträge enthalten biographische Angaben, Kontaktadressen sowie Angaben zu Werdegang und künstlerischem Schaffen, zur Mitgliedschaft in Ensembles, zu Preisen und zu den wichtigsten Werken und/oder Einspielungen. Im Anhang sind rund 3.000 wichtige Adressen der Musikszene aufgeführt: Orchester und Ensembles, Agenturen und Verlage mit Ansprechpartner und Schwerpunkt, Festivals, Ausbildungsstätten sowie Wettbewerbe mit Teilnahmebedingungen und Preisgeld. Ein Berufsregister erleichtert die Suche.
Enhancing Future Skills and Entrepreneurship
This open access book presents the proceedings of the 3rd Indo-German Conference on Sustainability in Engineering held at Birla Institute of Technology and Science, Pilani, India, on September 16–17, 2019. Intended to foster the synergies between research and education, the conference is one of the joint activities of the BITS Pilani and TU Braunschweig conducted under the auspices of Indo-German Center for Sustainable Manufacturing, established in 2009. The book is divided into three sections: engineering, education and entrepreneurship, covering a range of topics, such as renewable energy forecasting, design & simulation, Industry 4.0, and soft & intelligent sensors for energy efficiency. It also includes case studies on lean and green manufacturing, and life cycle analysis of ceramic products, as well as papers on teaching/learning methods based on the use of learning factories to improve students’problem-solving and personal skills. Moreover, the book discusses high-tech ideas to help the large number of unemployed engineering graduates looking for jobs become tech entrepreneurs. Given its broad scope, it will appeal to academics and industry professionals alike.
Machine Learning and Artificial Intelligence with Industrial Applications
This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.
