Network Inference From Consensus Dynamics With Unknown Parameters
© 2015 IEEE. We explore the problem of inferring the graph Laplacian of a weighted, undirected network from snapshots of a single or multiple discrete-time consensus dynamics, subject to parameter uncertainty, taking place on the network. Specifically, we consider three problems in which we assume d...
Main Authors: | Zhu, Yu, Schaub, Michael T, Jadbabaie, Ali, Segarra, Santiago |
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Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2023
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Online Access: | https://hdl.handle.net/1721.1/148599 |
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