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An Interactive Tool to Investigate the Inference Performance of Network Dynamics From Data

Network structure plays a significant role in determining the performance of network inference tasks. An interactive tool to study the dependence of network topology on estimation performance was developed. The tool allows end-users to easily create and modify network structures and observe the performance of pole estimation measured by Cramer-Rao bounds. The tool also automatically suggests the best measurement locations to maximize estimation performance, and thus finds its broad applications on the optimal design of data collection experiments. Finally, a series of theoretical results that explicitly connect subsets of network structures with inference performance are obtained.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc149617
Date08 1900
CreatorsVeenadhar, Katragadda
ContributorsWan, Yan, Fu, Shengli, Namuduri, Kamesh
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
FormatText
RightsPublic, Veenadhar, Katragadda, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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