Data-Informativity for Data-Driven Supervisory Control of Discrete-Event Systems

被引：1
|
作者：
Ohtsuka, Tomofumi [1 ]
Cai, Kai [2 ]
Kashima, Kenji [1 ]
机构：
[1] Kyoto Univ, Grad Sch Informat, Kyoto, Japan
[2] Osaka Metropolitan Univ, Dept Core Informat, Osaka, Japan
来源：
2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC | 2023年
关键词：
D O I：
10.1109/CDC49753.2023.10383395
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we develop a data-driven approach for supervisory control of discrete-event systems (DES). We consider a setup in which models of DES to be controlled are unknown, but a set of data concerning the behaviors of DES is available. We propose a new concept of data-informativity, which captures the notion that the available data set contains sufficient information such that a valid supervisor may be constructed for a family of DES models that all can generate the data set. We then characterize data-informativity with a necessary and sufficient condition, based on which we design an algorithm for its verification.
引用
收藏
页码：6923 / 6928
页数：6
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