Compressive sensing-based topology identification of multilayer networks

DOI10.1063/1.5093270zbMath1415.93087OpenAlexW2946528590WikidataQ92468162 ScholiaQ92468162MaRDI QIDQ5382852

Suhui Liu, Guangjun Li, Na Li, Xiao-Qun Wu

Publication date: 18 June 2019

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.5093270

Mathematics Subject Classification ID

Deterministic network models in operations research (90B10) System identification (93B30)

Related Items

Detecting faulty edges of complex dynamical networks based on compressive sensing ⋮ Synchronisation and topology identification of stochastic delayed multi-group models with multi-dispersal and Markovian switching ⋮ Topology identification of fractional-order complex dynamical networks based on auxiliary-system approach

Uses Software

• IOTA

Cites Work

• The synchronization of instantaneously coupled harmonic oscillators using sampled data with measurement noise
• Structure identification of uncertain general complex dynamical networks with time delay
• Synchronization of delayed neural networks with hybrid coupling via partial mixed pinning impulsive control
• Cooperative Epidemic Spreading on a Two-Layered Interconnected Network
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Recovering network topologies via Taylor expansion and compressive sensing
• Cooperative spreading processes in multiplex networks
• Robust Reconstruction of Continuously Time-Varying Topologies of Weighted Networks
• Topology identification of complex dynamical networks
• Detecting the topologies of complex networks with stochastic perturbations
• Compressed sensing

This page was built for publication: Compressive sensing-based topology identification of multilayer networks