short-paper

Preview of predictive monitoring for signal temporal logic with probabilistic guarantees

Authors:

Jyotirmoy V. DeshmukhAuthors Info & Claims

SNR '19: Proceedings of the Fifth International Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT

Pages 19 - 21

https://doi.org/10.1145/3313149.3313370

Published: 15 April 2019 Publication History

Abstract

Monitoring is an effective approach for identifying safety violations for complex cyber-physical systems. In this paper, we consider safety specifications expressed in Signal Temporal Logic (STL). STL is a logic for specifying timed properties of real-valued signals, and there has been significant work on offline and online monitoring of STL formulas on signals. Boolean monitoring techniques solve the problem of determining if a given STL formula is satisfied by a signal, while robust monitoring techniques seek to compute a quantitative degree of satisfaction of the formula. Online techniques can compute satisfaction or violation of the formula when the entire signal is not available, but existing online techniques can only provide worst-case estimates of satisfaction (or violation). In this paper, we propose algorithms to predict the satisfaction or violation of an STL formula when only partial information of a trace (i.e. its prefix) is available. The output of our algorithm is a predicted interval for the robust satisfaction value, along with a probabilistic guarantee on the correctness of the prediction. We demonstrate the utility of our approach on monitoring a safety-critical signal in the context of an unmanned aerial vehicle.

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Cited By

Rakotonarivo BDrougard NConversy SGarcia J(2021)Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de DronesProceedings of the 32nd Conference on l'Interaction Homme-Machine10.1145/3450522.3451328(1-16)Online publication date: 13-Apr-2021
https://dl.acm.org/doi/10.1145/3450522.3451328

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cover image ACM Other conferences

SNR '19: Proceedings of the Fifth International Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT

April 2019

36 pages

ISBN:9781450366977

DOI:10.1145/3313149

Program Chairs:
Sriram Sankaranarayanan
University of Colorado Boulder
,
Sadegh Soudjani
Newcastle University, UK

Copyright © 2019 ACM.

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Published: 15 April 2019

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CPS-IoT Week '19

CPS-IoT Week '19: Cyber-Physical Systems and Internet of Things Week 2019

April 15, 2019

Quebec, Montreal, Canada

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Cited By

Rakotonarivo BDrougard NConversy SGarcia J(2021)Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de DronesProceedings of the 32nd Conference on l'Interaction Homme-Machine10.1145/3450522.3451328(1-16)Online publication date: 13-Apr-2021
https://dl.acm.org/doi/10.1145/3450522.3451328

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