Titlebook: Design Methodology for Intelligent Technical Systems; Develop Intelligent Jürgen Gausemeier,Franz Josef Rammig,Wilhelm Schäf Book 2014 Spr

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Summary and Outlook,ence. This leads to an increasing design complexity and requires an effective cooperation and communication between the developers. The approach of the Collaborative Research Center (CRC) 614 for the development of self-optimizing systems presented in this book, overcomes the shortcomings of the exi

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Design Methodology for Intelligent Technical SystemsDevelop Intelligent

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https://doi.org/10.1007/978-1-0716-1286-6information technology has brought about considerable benefits. This situation is expressed by the term mechatronics, which means the close interaction of mechanics, electrics/electronics, control engineering and software engineering to improve the behavior of a technical system. The integration of

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Lara Console,Maria Tolomeo,Cesare Indiveri614 “Self-optimizing Concepts and Structures in Mechanical Engineering”. First, the autonomous rail vehicle RailCab developed at the University of Paderborn is introduced. Then, the RailCab subsystems Self-Optimizing Operating Point Control, Intelligent Drive Module, Active Suspension Module, Active

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https://doi.org/10.1007/978-1-0716-1286-6rol and software engineering as well as experts from higher mathematics and artificial intelligence. This leads to an increased design complexity and requires an effective communication and cooperation between the developers. The Collaborative Research Centre 614 developed a design methodology for s

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Flavonoids of Calenduleae and Cardueaenguages to design the system. Vital for the successful design, are system optimization methods and the design of the reconfiguration behavior. The former methods enable the parametric adaption of the system’s behavior, e.g. an adaption of controller parameters, according to a current selection of th