Inferring network connectivity by delayed feedback control

Inferring network connectivity by delayed feedback control

We suggest a control based approach to topology estimation of networks with N elements. This method first drives the network to steady states by a delayed feedback control; then performs structural perturbations for shifting the steady states M times; and finally infers the connection topology from...

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Veröffentlicht in:PloS one 2011-09, Vol.6 (9), p.e24333-e24333
Hauptverfasser: Yu, Dongchuan, Parlitz, Ulrich
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Bayes Theorem
Biology
Brain research
Computational geometry
Computer Simulation
Control systems
Convex analysis
Convexity
Dynamical systems
Feedback
Feedback control
Mathematics
Medical imaging
Methods
Models, Statistical
Models, Theoretical
Network reliability
Networks
Noise
Noise measurement
Optimization
Oscillators
Oscillometry - methods
Physics
Reproducibility of Results
Steady state
Systems Biology
Topology
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Zusammenfassung:We suggest a control based approach to topology estimation of networks with N elements. This method first drives the network to steady states by a delayed feedback control; then performs structural perturbations for shifting the steady states M times; and finally infers the connection topology from the steady states' shifts by matrix inverse algorithm (M = N) or l(1)-norm convex optimization strategy applicable to estimate the topology of sparse networks from M
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0024333