Mar 21, 2016 · We propose a distributed iterative algorithm in which a group of n autonomous agents self-organize the structure of their communication ...
[PDF] Distributed Network Design for Laplacian Eigenvalue Placement
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Abstract—We propose a distributed iterative algorithm in which a group of n autonomous agents self-organize the structure of their communication network in ...
The proposed approach is greedy in nature and stable by construction, i.e., it locally minimizes the distance of the network's eigenvalue spectrum to a desired ...
This paper presents a distributed algorithm to estimate all distinct eigenvalues of the Laplacian matrix encoding the unknown topology of a multi-agent ...
Abstract. The purpose of this article is to approximately compute the eigenvalues of the symmetric Dirichlet Laplacian within an interval (0, Λ).
Abstract: The paper presents data-driven algorithms to estimate in a distributed manner the eigenvalues, right and left eigenvectors of an unknown (linear ...
Dec 7, 2018 · Our construction of networks with specified eigenvalues allows us to place arbitrary gaps in the spectrum of the network Laplacian L = D - A , ...
Missing: Placement. | Show results with:Placement.
This paper proposes an algorithm for the assignment of the Laplacian eigenvalues by a suitable choice of edge gains. An iterative algorithm is derived first, ...
Because of their importance in network systems, much research has been undertaken on methods to design networks with desirable graph Laplacian eigenvalues.
Missing: Placement. | Show results with:Placement.
The objective of distributed state estimation is to design a network ... malized positive left eigenvector of the Laplacian is computed to be ... position of the ...