Model-Free Dominant Pole Placement for Restabilizing High-Dimensional Network Systems via Small-Sample-Size Data

Model-Free Dominant Pole Placement for Restabilizing High-Dimensional Network Systems via Small-Sample-Size Data

There is a critical transition before a high-dimensional network system completely deteriorates. The Dynamical Network Marker (DNM) theory has been developed for the early prediction of such critical transitions by only using High-Dimension Small-Sample-Size (HDSSS) data. This article presents a mod...

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Bibliographic Details
Main Authors: Xun Shen, Hampei Sasahara, Masahide Morishita, Jun-Ichi Imura, Makito Oku, Kazuyuki Aihara
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Data-driven control
matrix perturbation
pole placement
Online Access:https://ieeexplore.ieee.org/document/10121772/

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