CUED Publications database

Data driven discovery of cyber physical systems

Yuan, Y and Tang, X and Zhou, W and Pan, W and Li, X and Zhang, HT and Ding, H and Goncalves, J (2019) Data driven discovery of cyber physical systems. Nature Communications, 10. 4894-.

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Abstract

© 2019, The Author(s). Cyber-physical systems embed software into the physical world. They appear in a wide range of applications such as smart grids, robotics, and intelligent manufacturing. Cyber-physical systems have proved resistant to modeling due to their intrinsic complexity arising from the combination of physical and cyber components and the interaction between them. This study proposes a general framework for discovering cyber-physical systems directly from data. The framework involves the identification of physical systems as well as the inference of transition logics. It has been applied successfully to a number of real-world examples. The novel framework seeks to understand the underlying mechanism of cyber-physical systems as well as make predictions concerning their state trajectories based on the discovered models. Such information has been proven essential for the assessment of the performance of cyber-physical systems; it can potentially help debug in the implementation procedure and guide the redesign to achieve the required performance.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 12 Sep 2019 04:09
Last Modified: 12 Dec 2019 02:00
DOI: 10.1038/s41467-019-12490-1