Stochastic Omega-Regular Verification and Control with Supermartingales

Fuente: arXiv
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Autori principali: Abate, Alessandro, Giacobbe, Mirco, Roy, Diptarko
Natura: Preprint
Pubblicazione: 2024
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author Abate, Alessandro
Giacobbe, Mirco
Roy, Diptarko
author_facet Abate, Alessandro
Giacobbe, Mirco
Roy, Diptarko
contents We present for the first time a supermartingale certificate for $ω$-regular specifications. We leverage the Robbins & Siegmund convergence theorem to characterize supermartingale certificates for the almost-sure acceptance of Streett conditions on general stochastic processes, which we call Streett supermartingales. This enables effective verification and control of discrete-time stochastic dynamical models with infinite state space under $ω$-regular and linear temporal logic specifications. Our result generalises reachability, safety, reach-avoid, persistence and recurrence specifications; our contribution applies to discrete-time stochastic dynamical models and probabilistic programs with discrete and continuous state spaces and distributions, and carries over to deterministic models and programs. We provide a synthesis algorithm for control policies and Streett supermartingales as proof certificates for $ω$-regular objectives, which is sound and complete for supermartingales and control policies with polynomial templates and any stochastic dynamical model whose post-expectation is expressible as a polynomial. We additionally provide an optimisation of our algorithm that reduces the problem to satisfiability modulo theories, under the assumption that templates and post-expectation are in piecewise linear form. We have built a prototype and have demonstrated the efficacy of our approach on several exemplar $ω$-regular verification and control synthesis problems.
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id arxiv_https___arxiv_org_abs_2405_17304
institution arXiv
publishDate 2024
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spellingShingle Stochastic Omega-Regular Verification and Control with Supermartingales
Abate, Alessandro
Giacobbe, Mirco
Roy, Diptarko
Logic in Computer Science
Systems and Control
We present for the first time a supermartingale certificate for $ω$-regular specifications. We leverage the Robbins & Siegmund convergence theorem to characterize supermartingale certificates for the almost-sure acceptance of Streett conditions on general stochastic processes, which we call Streett supermartingales. This enables effective verification and control of discrete-time stochastic dynamical models with infinite state space under $ω$-regular and linear temporal logic specifications. Our result generalises reachability, safety, reach-avoid, persistence and recurrence specifications; our contribution applies to discrete-time stochastic dynamical models and probabilistic programs with discrete and continuous state spaces and distributions, and carries over to deterministic models and programs. We provide a synthesis algorithm for control policies and Streett supermartingales as proof certificates for $ω$-regular objectives, which is sound and complete for supermartingales and control policies with polynomial templates and any stochastic dynamical model whose post-expectation is expressible as a polynomial. We additionally provide an optimisation of our algorithm that reduces the problem to satisfiability modulo theories, under the assumption that templates and post-expectation are in piecewise linear form. We have built a prototype and have demonstrated the efficacy of our approach on several exemplar $ω$-regular verification and control synthesis problems.
title Stochastic Omega-Regular Verification and Control with Supermartingales
topic Logic in Computer Science
Systems and Control
url https://arxiv.org/abs/2405.17304