Frontiers of Information Technology & Electronic Engineering
>> 2024,
Volume 25,
Issue 2
doi:
10.1631/FITEE.2420000
Secure control and filtering for industrial metaverse
Affiliation(s): School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia; Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; less
Received: 2024-02-23
Accepted: 2024-02-23
Available online: 2024-02-23
Next
Previous
Abstract
Metaverse can be regarded as a socialized and virtualized cyberspace parallel yet interactive to the real world. Benefiting from the rapid development of cloud computing and digital twins, metaverse is transforming traditional control and filtering paradigms of industrial automation systems into cyber-physical social systems. Under this scenario, future industrial automation systems could be an integration of real-world ones and virtual twins combined with great computational power within a certain temporal and spatial range. The focused context of metaverse in this field involves information transmission management, behavior recognition of users, as well as control, filtering, and decision-making. Furthermore, the system performance and cost will be a synthetical reflection of the system behavior in cyberspace and the real world. It is indisputable that the intrinsic characteristics of information exchanges between the virtualized cyberspace and the real world, which responds to an urgent need for secure control and filtering, pose significant challenges toward guaranteeing desired system performance and realizing the ideal parameter design. Unfortunately, the current results on metaverse focus mainly on addressing its social significance and seeking its various application fields. The development in the control field still lies in its primary stage.
京公网安备 11010502051620号
