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Topology identification of multilink complex dynamical networks via adaptive observers incorporating chaotic exosignals
Topology identification of complex networks is an important and meaningful research
direction. In recent years, the topology identification method based on adaptive …
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 …
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 …
dynamical network. The setup is divided into two components: a primary drive network and a …
Topology identification of coupled neural networks with multiple weights
This paper concentrates on the research of topology identification problem for coupled
neural networks with multiple state couplings (CNNMSCs) or multiple delay state couplings …
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 …
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 …
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 …
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 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 …
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 …
states and outputs respectively, in a noisy transmission channel. By using Lyapunov stability …