Abstract | ||
---|---|---|
We propose an axiomatic approach for design and performance analysis of noisy linear consensus networks by introducing a notion of systemic performance measure. This class of measures are spectral functions of Laplacian eigenvalues of the network that are monotone, convex, and orthogonally invariant with respect to the Laplacian matrix of the network. It is shown that several existing gold-standar... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TAC.2017.2764447 | IEEE Transactions on Automatic Control |
Keywords | Field | DocType |
Laplace equations,Eigenvalues and eigenfunctions,Approximation algorithms,Algorithm design and analysis,Network synthesis,Couplings,Greedy algorithms | Laplacian matrix,Approximation algorithm,Discrete mathematics,Mathematical optimization,Axiomatic system,Network synthesis filters,Greedy algorithm,Invariant (mathematics),Linearization,Mathematics,Monotone polygon | Journal |
Volume | Issue | ISSN |
63 | 7 | 0018-9286 |
Citations | PageRank | References |
7 | 0.56 | 16 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Milad Siami | 1 | 122 | 15.65 |
Nader Motee | 2 | 181 | 28.18 |