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Introduction to the Multi-Disciplinary Engineering for Cyber-Physical Production Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

13. Patterns for Self-Adaptation in Cyber-Physical Systems

Authors : Angelika Musil, Juergen Musil, Danny Weyns, Tomas Bures, Henry Muccini, Mohammad Sharaf

Published in: Multi-Disciplinary Engineering for Cyber-Physical Production Systems

Publisher: Springer International Publishing

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Abstract

Engineering Cyber-Physical Systems (CPS) is challenging, as these systems have to handle uncertainty and change during operation. A typical approach to deal with uncertainty is enhancing the system with self-adaptation capabilities. However, realizing self-adaptation in CPS, and consequently also in Cyber-Physical Production Systems (CPPS) as a member of the CPS family, is particularly challenging due to the specific characteristics of these systems, including the seamless integration of computational and physical components, the inherent heterogeneity and large-scale of such systems, and their open-endedness.
In this chapter we survey CPS studies that apply the promising design strategy of combining different self-adaptation mechanisms across the technology stack of the system. Based on the survey results, we derive recurring adaptation patterns that structure and consolidate design knowledge. The patterns offer problem-solution pairs to engineers for the design of future CPS and CPPS with self-adaptation capabilities. Finally, the chapter outlines the potential of collective intelligence systems for CPPS and their engineering based on the survey results.

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Metadata
Title
Patterns for Self-Adaptation in Cyber-Physical Systems
Authors
Angelika Musil
Juergen Musil
Danny Weyns
Tomas Bures
Henry Muccini
Mohammad Sharaf
Copyright Year
2017
Book
Multi-Disciplinary Engineering for Cyber-Physical Production Systems

Print ISBN: 978-3-319-56344-2

Electronic ISBN: 978-3-319-56345-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-56345-9_13

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