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On the Quantitative Semantics of Regular Expressions over Real-Valued Signals

  • Alexey Bakhirkin
  • Thomas Ferrère
  • Oded Maler
  • Dogan Ulus
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10419)

Abstract

Signal regular expressions can specify sequential properties of real-valued signals based on threshold conditions, regular operations, and duration constraints. In this paper we endow them with a quantitative semantics which indicates how robustly a signal matches or does not match a given expression. First, we show that this semantics is a safe approximation of a distance between the signal and the language defined by the expression. Then, we consider the robust matching problem, that is, computing the quantitative semantics of every segment of a given signal relative to an expression. We present an algorithm that solves this problem for piecewise-constant and piecewise-linear signals and show that for such signals the robustness map is a piecewise-linear function. The availability of an indicator describing how robustly a signal segment matches some regular pattern provides a general framework for quantitative monitoring of cyber-physical systems.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Alexey Bakhirkin
    • 1
    • 2
  • Thomas Ferrère
    • 3
  • Oded Maler
    • 1
    • 2
  • Dogan Ulus
    • 1
    • 2
  1. 1.Université Grenoble-Alpes, VERIMAGGrenobleFrance
  2. 2.CNRS, VERIMAGGrenobleFrance
  3. 3.IST AustriaKlosterneuburgAustria

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