3 papers
eess.SY2025
Data-driven functional state estimation of complex networks
Yuan Zhang, Ziyuan Luo, Wenxuan Xu +8
The internal state of a dynamical system, a set of variables that defines its evolving configuration, is often hidden and cannot be fully measured, posing a central challenge for r…
cs.GR2025
Modeling and Topology Estimation of Low Rank Dynamical Networks
Wenqi Cao, Aming Li
Conventional topology learning methods for dynamical networks become inapplicable to processes exhibiting low-rank characteristics. To address this, we propose the low rank dynamic…
cs.LG2025
ARMAX identification of low rank graphical models
Wenqi Cao, Aming Li
In large-scale systems, complex internal relationships are often present. Such interconnected systems can be effectively described by low rank stochastic processes. When identifyin…