mlsanityData to 14 Oct 2026

An STL-based Formulation of Resilience in Cyber-Physical Systems

arXiv 2205.03961 ↗First posted 8 May 2022cs.LOcited by 1

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Abstract (arXiv)

Resiliency is the ability to quickly recover from a violation and avoid future violations for as long as possible. Such a property is of fundamental importance for Cyber-Physical Systems (CPS), and yet, to date, there is no widely agreed-upon formal treatment of CPS resiliency. We present an STL-based framework for reasoning about resiliency in CPS in which resiliency has a syntactic characterization in the form of an STL-based Resiliency Specification (SRS). Given an arbitrary STL formula varphi, time bounds α and β, the SRS of varphi, Rα,β(varphi), is the STL formula negvarphiU[0,α]G[0,β)varphi, specifying that recovery from a violation of varphi occur within time α (recoverability), and subsequently that varphi be maintained for duration β (durability). These R-expressions, which are atoms in our SRS logic, can be combined using STL operators, allowing one to express composite resiliency specifications, e.g., multiple SRSs must hold simultaneously, or the system must eventually be resilient. We define a quantitative semantics for SRSs in the form of a Resilience Satisfaction Value (ReSV) function r and prove its soundness and completeness w.r.t. STL's Boolean semantics. The r-value for Rα,β(varphi) atoms is a singleton set containing a pair quantifying recoverability and durability. The r-value for a composite SRS formula results in a set of non-dominated recoverability-durability pairs, given that the ReSVs of subformulas might not be directly comparable (e.g., one subformula has superior durability but worse recoverability than another). To the best of our knowledge, this is the first multi-dimensional quantitative semantics for an STL-based logic. Two case studies demonstrate the practical utility of our approach.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 8 May 2022.

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