International Conference on Intelligent Robotics and Applications

ICIRA 2015: Intelligent Robotics and Applications pp 643-654 | Cite as

Model-Based Metacontrol for Self-adaptation

  • Carlos Hernández
  • José L. Fernández
  • Guadalupe Sánchez-Escribano
  • Julita Bermejo-Alonso
  • Ricardo Sanz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Carlos Hernández
    • 1
  • José L. Fernández
    • 1
  • Guadalupe Sánchez-Escribano
    • 1
  • Julita Bermejo-Alonso
    • 1
  • Ricardo Sanz
    • 1
  1. 1.Escuela Técnica Superior de Ingenieros IndustrialesUniversidad Politécnica de MadridMadridSpain

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