• DocumentCode
    114221
  • Title

    Feedback refinement relations for symbolic controller synthesis

  • Author

    Reissig, Gunther ; Rungger, Matthias

  • Author_Institution
    Dept. Aerosp. Eng., Univ. of the Fed. Armed Forces Munich, Neubiberg, Germany
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    88
  • Lastpage
    94
  • Abstract
    A common issue with existing approaches to symbolic controller synthesis lies in the huge complexity of the resulting controllers. In particular, the controllers usually need full plant state information and contain an abstraction of the plant as a building block. In this note, we present an extension which helps reduce that complexity. Our technique is based on the novel concept of feedback refinement relations to compare plants with their finite-state approximations. As an additional feature, our approach builds on infinitary completed trace semantics and allows for the synthesis of controllers for arbitrary, not necessarily prefix-closed specifications. We also reveal if and how existing symbolic controller synthesis procedures should be extended to benefit from the advantages of our technique.
  • Keywords
    control system synthesis; feedback; feedback refinement relations; finite-state approximations; infinitary completed trace semantics; prefix-closed specifications; symbolic controller synthesis procedures; Abstracts; Adaptive control; Complexity theory; Control systems; Measurement errors; Semantics; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039364
  • Filename
    7039364