Sinusoidal disturbance induced topology identification of Hindmarsh-Rose neural networks - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Science in China Series F: Information Sciences Année : 2016

Sinusoidal disturbance induced topology identification of Hindmarsh-Rose neural networks

Résumé

Topology identification of complex networks is an important problem. Existing research shows that the synchronization of network nodes is an obstacle in the identification of network topology. Identification of the structure of the network presents an interesting challenge during the synchronization of complex networks. We developed a new method using the sinusoidal disturbance to identify the topology when the complex network achieves synchronization. Compared with the disturbance of all the nodes, the disturbance of the key nodes alone can achieve a very good effect. Finally, numerical simulation data are provided to validate our hypothesis.
Fichier non déposé

Dates et versions

hal-02114937 , version 1 (30-04-2019)

Identifiants

Citer

Junchan Zhao, M. Aziz-Alaoui, Cyrille Bertelle, Nathalie Corson. Sinusoidal disturbance induced topology identification of Hindmarsh-Rose neural networks. Science in China Series F: Information Sciences, 2016, 59 (11), ⟨10.1007/s11432-015-0915-9⟩. ⟨hal-02114937⟩
45 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More