Topology identification of multilink complex dynamical networks via adaptive observers incorporating chaotic exosignals

H Liu, Y Li, Z Li, J Lü, JA Lu - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
Topology identification of complex networks is an important and meaningful research
direction. In recent years, the topology identification method based on adaptive …

Synchronization-based topology identification of multilink hypergraphs: a verifiable linear independence

K Li, C Shi - Nonlinear Dynamics, 2024 - Springer
Topology identification of multilink graphs has received a lot of attention in recent years,
however there have been no studies on topology identification of multilink hypergraphs. In …

Identifying the switching topology of dynamical networks based on adaptive synchronization

K Li, D Yang, C Shi, J Zhou - Chaos: An Interdisciplinary Journal of …, 2023 - pubs.aip.org
This paper proposes an approach for identifying unknown switching topology in a complex
dynamical network. The setup is divided into two components: a primary drive network and a …

Topology identification of coupled neural networks with multiple weights

HY Wu, L Wang, LH Zhao, JL Wang - Neurocomputing, 2021 - Elsevier
This paper concentrates on the research of topology identification problem for coupled
neural networks with multiple state couplings (CNNMSCs) or multiple delay state couplings …

Network topology generation based on eigenvector centrality with real‐time guarantee

F He, Z Wang, X Gu - Concurrency and Computation: Practice …, 2023 - Wiley Online Library
The real‐time performance is a major concern of complex real‐time systems during
information acquisition, transmission, processing, and application. The interactions among …

Local time-varying topology identification of network with unknown parameters based on adaptive synchronization

HP Ren, K Tian, R Zhou - Automatika: časopis za automatiku, mjerenje …, 2018 - hrcak.srce.hr
Local time-varying topology identification of network with unknown parameters based on
adaptive synchronization Page 1 Full Terms & Conditions of access and use can be found at …

Detecting synaptic connections in neural systems using compressive sensing

Y Yang, C Yan - Cognitive Neurodynamics, 2022 - Springer
Revealing synaptic connections between neurons is of great significance and practical
value to biomedicine and bio-neurology. We present a general approach to reconstruct …

A Novel Method for Estimating Accuracy of Network Structure Recovery Model

X Zhang, C Yan - IEEE Access, 2023 - ieeexplore.ieee.org
Many practical systems can be considered as networks of nodes interacting. Explicit network
topology is a straightforward method to understand the actual system, so it is of practical …

Topology Identification of Multilayer Complex Dynamical Networks with Multiple Weights Considering Derivative Coupling

H Lu, GP Jiang, Y Wu, Y Zheng - 2024 China Automation …, 2024 - ieeexplore.ieee.org
This paper addresses the topology identification problem of multilayer complex dynamical
networks with multiple weights, considering derivative coupling. First, we propose a …

[PDF][PDF] State reconstruction for complex dynamical networks with noises

C Fan, G Jiang - International journal of modern nonlinear theory …, 2012 - file.scirp.org
The state reconstruction problem is addressed for complex dynamical networks coupled with
states and outputs respectively, in a noisy transmission channel. By using Lyapunov stability …