Sufficient and Necessary Barrier-like Conditions for Safety and Reach-avoid Verification of Stochastic Discrete-time Systems
Bai Xue

TL;DR
This paper develops barrier-like conditions that are both necessary and sufficient for infinite-horizon safety and reach-avoid verification of stochastic discrete-time systems, advancing beyond prior methods that only provided sufficient conditions.
Contribution
It introduces a rigorous framework of barrier-like conditions that precisely characterize safety and reach-avoid properties, establishing both necessity and sufficiency for stochastic systems.
Findings
Established necessary and sufficient barrier conditions for safety verification.
Derived conditions for reach-avoid properties involving probabilistic guarantees.
Provided a relaxation of Bellman equations to facilitate verification.
Abstract
This paper investigates necessary and sufficient barrier-like conditions for infinite-horizon safety and reach-avoid verification of stochastic discrete-time systems, derived via a relaxation of the Bellman equations. Unlike prior approaches that primarily focus on sufficient conditions, our work rigorously establishes both necessity and sufficiency for infinite-horizon properties. Safety verification concerns certifying that, starting from a given initial state, the system remains within a safe set at all future time steps with probability at least equal to a specified threshold. For this purpose, we formulate a necessary and sufficient barrier-like condition that captures this infinite-time safety property. In contrast, reach-avoid verification generalizes safety verification by also incorporating reachability. Specifically, it aims to ensure that the probability of the system,…
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Taxonomy
TopicsFormal Methods in Verification · Fault Detection and Control Systems · Petri Nets in System Modeling
MethodsSparse Evolutionary Training
