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The Paradigm of Self-optimization

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Book cover Design Methodology for Intelligent Technical Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Machines are ubiquitous. They produce, they transport. Machines facilitate and assist with work. The increasing fusion of mechanical engineering with information 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 cognitive functions into mechatronic systems enables systems to have inherent partial intelligence. The behavior of these future systems is formed by the communication and cooperation of the intelligent system elements. From an information processing point of view, we consider these distributed systems to be multi-agent-systems. These capabilities open up fascinating prospects regarding the design of future technical systems. The term self-optimization characterizes this perspective: the endogenous adaptation of the system’s objectives due to changing operational conditions. This resuls in an autonomous adjustment of system parameters or system structure and consequently of the system’s behavior. In this chapter self-optimizing systems are described in detail. The long term aim of the Collaborative Research Centre 614 ”Self-Optimizing Concepts and Structures in Mechanical Engineering” is to open up the active paradigm of self-optimization for mechanical engineering and to enable others to develop these systems. For this, developers have to face a number of challenges, e.g. the multidisciplinarity and the complexity of the system. This book povides a design methodology that helps to master these challenges and to enable third parties to develop self-optimizing systems by themselves.

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Author information

Authors and Affiliations

  1. Chair of Applied Mathematics, University of Paderborn, Warburger Straße 100, 33098, Paderborn, Germany

    Michael Dellnitz

  2. Project Group Mechatronic Systems Design, Fraunhofer Institute for Production Technology IPT, Zukunftsmeile 1, 33102, Paderborn, Germany

    Roman Dumitrescu

  3. Computational Dynamics and Optimal Control, University of Paderborn, Warburger Straße 100, 33098, Paderborn, Germany

    Kathrin Flaßkamp & Sina Ober-Blöbaum

  4. Heinz Nixdorf Institute, University of Paderborn, Product Engineering, Fuerstenallee 11, D-33102, Paderborn, Germany

    Jürgen Gausemeier, Philip Hartmann & Peter Iwanek

  5. Heinz Nixdorf Institute, University of Paderborn, System and Circuit Technology, Fuerstenallee 11, 33102, Paderborn, Germany

    Sebastian Korf

  6. Heinz Nixdorf Institute, University of Paderborn, Control Engineering and Mechatronics, Fuerstenallee 11, D-33102, Paderborn, Germany

    Martin Krüger

  7. Cornitronics and Sensor Systems, Center of Excellence Cognitive Interaction Technology, Bielefeld University, Universitätsstraße 21-23, 33615, Bielefeld, Germany

    Mario Porrmann

  8. Heinz Nixdorf Institute, University of Paderborn, Software Engineering Group, Zukunftsmeile 1, 33102, Paderborn, Germany

    Claudia Priesterjahn

  9. Heinz Nixdorf Institute, University of Paderborn, Design of Distributed Embedded Systems, Fuerstenallee 11, 33102, Paderborn, Germany

    Katharina Stahl

  10. Heinz Nixdorf Institute, University of Paderborn, Control Engineering and Mechatronics, Fuerstenallee 11, 33102, Paderborn, Germany

    Ansgar Trächtler

  11. Heinz Nixdorf Institute, University of Paderborn, Product Engineering, Fuerstenallee 11, 33102, Paderborn, Germany

    Mareen Vaßholz

Authors
  1. Michael Dellnitz
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  2. Roman Dumitrescu
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  3. Kathrin Flaßkamp
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  4. Jürgen Gausemeier
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  5. Philip Hartmann
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  6. Peter Iwanek
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  7. Sebastian Korf
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  8. Martin Krüger
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  9. Sina Ober-Blöbaum
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  10. Mario Porrmann
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  11. Claudia Priesterjahn
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  12. Katharina Stahl
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  13. Ansgar Trächtler
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  14. Mareen Vaßholz
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Corresponding author

Correspondence to Michael Dellnitz .

Editor information

Editors and Affiliations

  1. Product Engineering, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

    Jürgen Gausemeier

  2. Design of Distributed Embedded Systems, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

    Franz Josef Rammig

  3. Software Engineering, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

    Wilhelm Schäfer

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Dellnitz, M. et al. (2014). The Paradigm of Self-optimization. In: Gausemeier, J., Rammig, F., Schäfer, W. (eds) Design Methodology for Intelligent Technical Systems. Lecture Notes in Mechanical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45435-6_1

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  • DOI: https://doi.org/10.1007/978-3-642-45435-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45434-9

  • Online ISBN: 978-3-642-45435-6

  • eBook Packages: EngineeringEngineering (R0)

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