Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152243
Title: Supervisor synthesis for networked discrete event systems with delays against non-FIFO communication channels
Authors: Zhu, Yuting
Lin, Liyong
Tai, Ruochen
Su, Rong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Zhu, Y., Lin, L., Tai, R. & Su, R. (2021). Supervisor synthesis for networked discrete event systems with delays against non-FIFO communication channels. 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), 1027-1032. https://dx.doi.org/10.1109/ICARCV50220.2020.9305500
Project: M4061925.043
M4011982 RG91/18-(S)
Abstract: In this work, we study the problem of supervisory synthesis for networked discrete event systems against non- FIFO communication channels with bounded delays. Both the observation and control communication channels are repre- sented by finite state automata under the assumption that all communication delays are bounded, the resilient networked supervisor synthesis problem is then reduced to supervisor synthesis for non-deterministic automata. We firstly analyze the structure of networked discrete-event systems with delays, and then describe the message transmission process through the communication channels which connect the plant and the supervisor. The assumption of the networked discrete event systems: 1)The buffer size of the communication channels is limited; 2)There is a maximum delay boundary for each event in the communication channel; 3)The number of multiple copies of the same event in the communication channel is limited. The content of the observation and control channel will be represented by the timed finite state automata. Finally, an example will illustrate how the networked resilient supervisor will be synthesized.
URI: https://hdl.handle.net/10356/152243
DOI: 10.1109/ICARCV50220.2020.9305500
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICARCV50220.2020.9305500.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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