Title
Growing Linear Dynamical Networks Endowed by Spectral Systemic Performance Measures.
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 Siami112215.65
Nader Motee218128.18