@inproceedings{e0b596c24eca43248d0b030e92a8c28e,
title = "MDESops: An Open-Source Software Tool for Discrete Event Systems Modeled by Automata",
abstract = "The salient features of the new software tool MDESops are presented. MDESops is Python-based and open-source. Its focus is the analysis and control of discrete event systems (DES) modeled by finite-state automata. MDESops has core functions to manipulate deterministic and nondeterministic automata, including parallel composition and determinization. It has functions to analyze diagnosability and opacity properties. MDESops also includes functions that implement both standard and more recent algorithmic procedures from the theory of supervisory control of DES, including synthesis of supervisors for partially-observed systems, synthesis of attackers in systems with compromised sensors, and synthesis of supervisors resilient to deception attacks. It is the hope that MDESops can serve as a useful platform for algorithm development and prototyping in DES research.",
author = "R{\^o}mulo Meira-G{\'o}es and Andrew Wintenberg and Shoma Matsui and St{\'e}phane Lafortune",
note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",
year = "2023",
month = jul,
day = "1",
doi = "10.1016/j.ifacol.2023.10.703",
language = "English (US)",
series = "IFAC-PapersOnLine",
publisher = "Elsevier B.V.",
number = "2",
pages = "6093--6098",
editor = "Hideaki Ishii and Yoshio Ebihara and Jun-ichi Imura and Masaki Yamakita",
booktitle = "IFAC-PapersOnLine",
edition = "2",
}