A decentralized algorithm for spectral analysis
Journal of Computer and System Sciences
Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective
SIAM Journal on Control and Optimization
Brief paper: Decentralized estimation and control of graph connectivity for mobile sensor networks
Automatica (Journal of IFAC)
Hearing the clusters of a graph: A distributed algorithm
Automatica (Journal of IFAC)
Hi-index | 22.14 |
In this paper, we present a decentralized algorithm to estimate the eigenvalues of the Laplacian matrix that encodes the network topology of a multi-agent system. We consider network topologies modeled by undirected graphs. The basic idea is to provide a local interaction rule among agents so that their state trajectory is a linear combination of sinusoids oscillating only at frequencies function of the eigenvalues of the Laplacian matrix. In this way, the problem of decentralized estimation of the eigenvalues is mapped into a standard signal processing problem in which the unknowns are the finite number of frequencies at which the signal oscillates.