Fundamental Limits and Tradeoffs on Disturbance Propagation in Linear Dynamical Networks

We investigate performance deterioration in linear consensus networks subject to external stochastic disturbances. The expected value of the steady state dispersion of the states of the network is adopted as a performance measure. We develop a graph-theoretic methodology to relate structural specifi...

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Published inIEEE transactions on automatic control Vol. 61; no. 12; pp. 4055 - 4062
Main Authors Siami, Milad, Motee, Nader
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract We investigate performance deterioration in linear consensus networks subject to external stochastic disturbances. The expected value of the steady state dispersion of the states of the network is adopted as a performance measure. We develop a graph-theoretic methodology to relate structural specifications of the coupling graph of a linear consensus network to its performance measure. We explicitly quantify several inherent fundamental limits on the best achievable levels of performance and show that these limits of performance are emerged only due to the specific interconnection topology of the coupling graphs. Furthermore, we discover some of the inherent fundamental tradeoffs between notions of sparsity and performance in linear consensus networks.
AbstractList We investigate performance deterioration in linear consensus networks subject to external stochastic disturbances. The expected value of the steady state dispersion of the states of the network is adopted as a performance measure. We develop a graph-theoretic methodology to relate structural specifications of the coupling graph of a linear consensus network to its performance measure. We explicitly quantify several inherent fundamental limits on the best achievable levels of performance and show that these limits of performance are emerged only due to the specific interconnection topology of the coupling graphs. Furthermore, we discover some of the inherent fundamental tradeoffs between notions of sparsity and performance in linear consensus networks.
Author Motee, Nader
Siami, Milad
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Snippet We investigate performance deterioration in linear consensus networks subject to external stochastic disturbances. The expected value of the steady state...
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SubjectTerms Coupling
Couplings
Fundamental limits
Graph theory
Laplace equations
linear consensus networks
Manganese
network analysis and control
Network topology
Networks
Performance degradation
performance measures
Sparse matrices
sparsity measures
Steady-state
Topology
Tradeoffs
Title Fundamental Limits and Tradeoffs on Disturbance Propagation in Linear Dynamical Networks
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