A new modeling framework for networked discrete-event systems
This paper proposes a new framework for modeling networked discrete-event systems (DES) with channel delays and losses. We construct a more elaborated model for the plant G and supervisor S by endowing them with an embedded module to preprocess the received messages and defining state transition map...
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sg-ntu-dr.10356-1616492022-09-13T06:19:33Z A new modeling framework for networked discrete-event systems Tai, Ruochen Lin, Liyong Zhu, Yuting Su, Rong School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Elaborated Model State Transition Mapping This paper proposes a new framework for modeling networked discrete-event systems (DES) with channel delays and losses. We construct a more elaborated model for the plant G and supervisor S by endowing them with an embedded module to preprocess the received messages and defining state transition mapping and output mapping to model the dynamics of G and S, which could provide users with flexibility to realize different mechanisms, and thus could potentially generate more permissive controllers. Two sets of new formulations are established to capture the temporal relationships between channel inputs and outputs without assuming the first-in-first-out (FIFO) property, which naturally contains the model without delays and losses in the Ramadge–Wonham framework. Based on the defined mappings of each component, the closed-loop behavior is defined to describe the concurrent system dynamics. We hope the new framework could serve as an analysis tool, and possibly the building block for a synthesis tool, for future theoretical explorations and practical implementations of networked DES control. Ministry of Education (MOE) Nanyang Technological University Submitted/Accepted version This work was supported by the funding from Singapore National Research Foundation via Delta-NTU Corporate Lab Program (DELTA-NTU CORP LAB-SMA-RP2 SU RONG M4061925.043) and from Singapore Ministry of Education Tier 1 Academic Research Grant (2018-T1-001-245 (RG91/18)) 2022-09-13T06:19:33Z 2022-09-13T06:19:33Z 2022 Journal Article Tai, R., Lin, L., Zhu, Y. & Su, R. (2022). A new modeling framework for networked discrete-event systems. Automatica, 138, 110139-. https://dx.doi.org/10.1016/j.automatica.2021.110139 0005-1098 https://hdl.handle.net/10356/161649 10.1016/j.automatica.2021.110139 2-s2.0-85122946393 138 110139 en DELTA-NTU CORP LAB-SMA-RP2 2018-T1-001-245 (RG91/18) Automatica © 2021 Elsevier Ltd. All rights reserved. This paper was published in Automatica and is made available with permission of Elsevier Ltd. application/pdf |
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Engineering::Electrical and electronic engineering Elaborated Model State Transition Mapping Tai, Ruochen Lin, Liyong Zhu, Yuting Su, Rong A new modeling framework for networked discrete-event systems |
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This paper proposes a new framework for modeling networked discrete-event systems (DES) with channel delays and losses. We construct a more elaborated model for the plant G and supervisor S by endowing them with an embedded module to preprocess the received messages and defining state transition mapping and output mapping to model the dynamics of G and S, which could provide users with flexibility to realize different mechanisms, and thus could potentially generate more permissive controllers. Two sets of new formulations are established to capture the temporal relationships between channel inputs and outputs without assuming the first-in-first-out (FIFO) property, which naturally contains the model without delays and losses in the Ramadge–Wonham framework. Based on the defined mappings of each component, the closed-loop behavior is defined to describe the concurrent system dynamics. We hope the new framework could serve as an analysis tool, and possibly the building block for a synthesis tool, for future theoretical explorations and practical implementations of networked DES control. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Tai, Ruochen Lin, Liyong Zhu, Yuting Su, Rong |
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Article |
author |
Tai, Ruochen Lin, Liyong Zhu, Yuting Su, Rong |
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Tai, Ruochen |
title |
A new modeling framework for networked discrete-event systems |
title_short |
A new modeling framework for networked discrete-event systems |
title_full |
A new modeling framework for networked discrete-event systems |
title_fullStr |
A new modeling framework for networked discrete-event systems |
title_full_unstemmed |
A new modeling framework for networked discrete-event systems |
title_sort |
new modeling framework for networked discrete-event systems |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/161649 |
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1744365423887908864 |