Abstract
In conventional supervisory control theory, a plant and supervisor are supposed to work synchronously such that enabling an event by the supervisor, execution of it in the plant, and observation of the executed event by the supervisor all occur at once. Therefore, these occurrences are all captured by means of a single event. However, when a supervisor synthesized from conventional supervisory control theory is implemented in real life, it will face problems since exact synchronization can hardly happen in practice due to delayed communications. In this paper, we propose a synthesis technique to achieve a supervisor that does not face the problems caused by inexact synchronization. For this purpose, we first introduce an asynchronous setting in which enablement, execution, and observation of an event do not occur simultaneously but with some delay. We present a model representing the behavior of the plant in the asynchronous setting which we call the asynchronous plant. For the asynchronous plant, we present an algorithm synthesizing an asynchronous supervisor which satisfies (asynchronous) controllability and nonblockingness.
Original language | English |
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Title of host publication | 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019 |
Place of Publication | Piscataway |
Publisher | IEEE Computer Society |
Pages | 494-501 |
Number of pages | 8 |
ISBN (Electronic) | 9781728103556 |
DOIs | |
Publication status | Published - Aug 2019 |
Event | 15th IEEE International Conference on Automation Science and Engineering, (CASE 2019) - University of British Columbia, Vancouver, Canada Duration: 22 Aug 2019 → 26 Aug 2019 Conference number: 15 http://case2019.hust.edu.cn/ |
Conference
Conference | 15th IEEE International Conference on Automation Science and Engineering, (CASE 2019) |
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Abbreviated title | CASE2019 |
Country/Territory | Canada |
City | Vancouver |
Period | 22/08/19 → 26/08/19 |
Internet address |
Funding
* This research has received funding from the European Unions Horizon 2020 Framework Programme for Research and Innovation under grant agreement no 674875.