Bounds On The Smallest Eigenvalue Of A Pinned Laplacian Matrix
Keywords
consensus; eigenvalue bounds; Laplacian spectra; leader selection; multi-agent systems; network pinning; spectral graph theory; synchronization
Abstract
In this note, we study a networked system with single/multiple pinning. Given a weighted and undirected network, we derive lower and upper bounds on its algebraic connectivity with respect to the reference signal. The bounds are derived by partitioning the network in terms of distance of each node from the pinning set. Upper and lower bounds for two networks with differing topologies are computed to demonstrate the tightness of the derived results. It is shown, using the derived bounds, how requirements on the number of pinning nodes and pinning gain required for achieving stability or a specified convergence rate for the network can be easily obtained.
Publication Date
8-1-2018
Publication Title
IEEE Transactions on Automatic Control
Volume
63
Issue
8
Number of Pages
2641-2646
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/TAC.2017.2771944
Copyright Status
Unknown
Socpus ID
85035140202 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85035140202
STARS Citation
Manaffam, Saeed and Behal, Aman, "Bounds On The Smallest Eigenvalue Of A Pinned Laplacian Matrix" (2018). Scopus Export 2015-2019. 9255.
https://stars.library.ucf.edu/scopus2015/9255