.png){kind=icon}
.png){kind=icon}
Return
AI-driven Autonomous Digital Twin Orchestration for Industrial Cyber-Physical Systems using edge intelligence and federated coordination
.png){kind=icon}
PRE
AI
S
A
T
A
S
H
H
DOI：10.1016/j.future.2026.108702.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Industrial cyber–physical systems (CPSs) increasingly require intelligent and distributed decision-making to support real-time monitoring and adaptive control. However, conventional cloud-centric orchestration approaches suffer from high latency, limited scalability, and reduced resilience under dynamic industrial conditions. While digital twins provide a powerful representation of physical assets, most existing solutions rely on centralized control and lack autonomous decision capabilities.
Journal
F
IF:
6.1
Papers:
6.8K
Citations:
2.3W
Organization
Cited Papers