Representation and Reconstruction of Linear, Time-Invariant Networks

Representation and Reconstruction of Linear, Time-Invariant Networks

Network reconstruction is the process of recovering a unique structured representation of some dynamic system using input-output data and some additional knowledge about the structure of the system. Many network reconstruction algorithms have been proposed in recent years, most dealing with the reco...

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Bibliographic Details
Main Author: Woodbury, Nathan Scott
Format: Others
Published: BYU ScholarsArchive 2019
Subjects:
Dynamic systems
networks
network reconstruction
target specificity
system identification
learning
linear systems
system representations
state space models
generalized state space models
dynamical structure functions
dynamical network functions
DSF
DNF
multi-DSF
feedback
well-posedness
algebraic loops
representability
abstraction
immersion
identifiability
informativity
data
proper systems
strictly proper systems
causality
strict causality
frequency domain
time domain
Online Access:https://scholarsarchive.byu.edu/etd/7402
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8402&context=etd

Internet

https://scholarsarchive.byu.edu/etd/7402
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8402&context=etd

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