Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5000014 | Automatica | 2017 | 12 Pages |
Abstract
This work develops a measurement-driven and model-based formal verification approach, applicable to dynamical systems with partly unknown dynamics. We provide a new principled method, grounded on Bayesian inference and on reachability analysis respectively, to compute the confidence that a physical system driven by external inputs and accessed under noisy measurements verifies a given property expressed as a temporal logic formula. A case study discusses the bounded- and unbounded-time safety verification of a partly unknown system, encompassed within a class of linear, time-invariant dynamical models with inputs and output measurements.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Sofie Haesaert, Paul M.J. Van den Hof, Alessandro Abate,