Engineering systems, such as power grids and transportation systems, are becoming increasingly complex and encompass numerous sub-systems that are spatially interconnected. Modeling of these 'dynamic networks' is an important task for designing, analyzing, and controlling these systems. By exploiting graph theory, Shengling Shi developed novel modeling methods that consider the interconnection structure of dynamic networks and thus allow for more flexible locations of actuators and sensors in the network for data collection and data-driven modeling.
from News on Artificial Intelligence and Machine Learning https://ift.tt/3BT91RW
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New modelling methodology for large-scale dynamic networks
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