Skip to main content

Model-Based Metacontrol for Self-adaptation

Part of the Lecture Notes in Computer Science book series (LNAI,volume 9244)

Abstract

There is an increasing demand for more autonomous systems. Enhancing systems with self-aware and self-adaptation capabilities can provide a solution to meet resilience needs. This article proposes a general design solution to build autonomous systems capable of run-time reconfiguration. The solution leverages Model-Driven Engineering with Model-Based Cognitive Control. The key idea is the integration of a metacontroller in the control architecture of the autonomous system, capable of perceiving the dysfunctional components of the control system and reconfiguring it, if necessary, at runtime. At the core of the metacontroller’s operation lies a model of the system’s functional architecture, which can be generated from the engineering modeling of the system.

Keywords

  • Autonomy
  • Model-based control
  • Self-adaptation
  • Self-awareness

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-22879-2_58
  • Chapter length: 12 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   84.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-22879-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   109.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Albus, J.S.: RCS: a reference model architecture for intelligent control. Computer 25(5), 56–59 (1992)

    CrossRef  Google Scholar 

  2. Aßmann, U., Zschaler, S., Wagner, G.: Ontologies, meta-models, and the model-driven paradigm. In: Calero, C., Ruiz, F., Piattini, M. (eds.) Ontologies for Software Engineering and Technology. Springer (2006)

    Google Scholar 

  3. Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M.: Diagnosis and Fault-Tolerant Control. Springer-Verlag, Berlin (2006)

    MATH  Google Scholar 

  4. Chittaro, L., Kumar, A.N.: Reasoning about function and its applications to engineering. Artificial Intelligence in Engineering 12(4), 331–336 (1998)

    CrossRef  Google Scholar 

  5. DeLoach, S.A., Oyenan, W.H., Matson, E.T.: A capabilities-based model for adaptive organizations. Autonomous Agents and Multi-Agent Systems 16, 13–56 (2008)

    CrossRef  Google Scholar 

  6. Fernandez-Sánchez, J.L.: ISE & Process Pipelines in OO Architectures (ISE&PPOOA). http://www.omgwiki.org/MBSE/doku.php?id=mbse:ppooa

  7. Garlan, D.: Software architecture: a travelogue. In: Proceedings of the on Future of Software Engineering, FOSE 2014, pp. 29–39. ACM, New York (2014)

    Google Scholar 

  8. Hernández, C.: Model-based Self-awareness Patterns for Autonomy. Ph.D. thesis, Universidad Politécnica de Madrid, ETSII, Dpto. Automática, Ing. Electrónica e Informática Industrial, José Gutierrez Abascal 2, 28006 Madrid (SPAIN), October 2013

    Google Scholar 

  9. Hernández, C., Bermejo-Alonso, J., López, I., Sanz, R.: Three patterns for autonomous robot control architecting. In: Zimmermann, A. (ed.) The Fifth International Conferences on Pervasive Patterns and Applications, PATTERNS 2013, pp. 44–51. IARIA, May 27, 2013

    Google Scholar 

  10. Kephart, J., Chess, D.: The vision of autonomic computing. Computer 36(1), 41–50 (2003)

    MathSciNet  CrossRef  Google Scholar 

  11. Marder-Eppstein, E., Berger, E., Foote, T., Gerkey, B., Konolige, K.: The office marathon: robust navigation in an indoor office environment. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 300–307, May 2010

    Google Scholar 

  12. Sanz, R., Rodríguez, M.: The ASys vision. Tech. Rep. ASLAB-R-2007-001, Autonomous System Laboratory, February 2007

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carlos Hernández .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Hernández, C., Fernández, J.L., Sánchez-Escribano, G., Bermejo-Alonso, J., Sanz, R. (2015). Model-Based Metacontrol for Self-adaptation. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2015. Lecture Notes in Computer Science(), vol 9244. Springer, Cham. https://doi.org/10.1007/978-3-319-22879-2_58

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-22879-2_58

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22878-5

  • Online ISBN: 978-3-319-22879-2

  • eBook Packages: Computer ScienceComputer Science (R0)