SYSYMar 27, 2019

Estimation and Verification of Partially-Observed Discrete-Event Systems

arXiv:1903.1141312 citationsh-index: 29
AI Analysis

For researchers and engineers working on cyber-physical systems, this work provides formal methods for state estimation and verification under partial observability, though it is an incremental extension of existing DES theory.

This paper addresses state estimation and verification in partially-observed discrete-event systems, proposing methods to handle unobservable events and uncertainties. The results include formal guarantees for state estimation accuracy and verification correctness.

This article considers state estimation and veri cation problems for an important class of man-made cyber-physical systems called Discrete-Event Systems (DES).

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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