3 papers
math.OC2021
A Necessary Condition for Network Identifiability with Partial Excitation and Measurement
Xiaodong Cheng, Shengling Shi, Ioannis Lestas +1
This paper considers dynamic networks where vertices and edges represent manifest signals and causal dependencies among the signals, respectively. We address the problem of how to…
eess.SY2020
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect
Rik J. C. van Esch, Shengling Shi, Antoine Bernas +3
Several studies claim that listening to Mozart music affects cognition and can be used to treat neurological conditions like epilepsy. Research into this Mozart effect has not addr…
math.OC2019
Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks
Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof
A recent research direction in data-driven modeling is the identification of dynamic networks, in which measured vertex signals are interconnected by dynamic edges represented by c…