General decay lag anti-synchronization of multi-weighted delayed coupled neural networks with reaction–diffusion terms
Huang, Yanli and Hou, Jie and Yang, Erfu (2020) General decay lag anti-synchronization of multi-weighted delayed coupled neural networks with reaction–diffusion terms. Information Sciences, 511. pp. 36-57. ISSN 0020-0255 (https://doi.org/10.1016/j.ins.2019.09.045)
Preview |
Text.
Filename: Huang_etal_IS_2020_General_decay_lag_anti_synchronization_of_multi_weighted.pdf
Accepted Author Manuscript License: Download (446kB)| Preview |
Abstract
We propose a new anti-synchronization concept, called general decay lag anti-synchronization, by combining the definitions of decay synchronization and lag synchronization. Novel criteria for the decay lag anti-synchronization of multi-weighted delayed coupled reaction–diffusion neural networks (MWDCRDNNs) with and without bounded distributed delays are derived by constructing an appropriate nonlinear controller and using the Lyapunov functional method. Moreover, the robust decay lag anti-synchronization of MWDCRDNNs with and without bounded distributed delays is considered. Finally, two numerical simulations are performed to validate the obtained results.
ORCID iDs
Huang, Yanli, Hou, Jie and Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950;-
-
Item type: Article ID code: 72034 Dates: DateEvent29 February 2020Published23 September 2019Published Online21 September 2019AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 15 Apr 2020 14:02 Last modified: 17 Dec 2024 13:50 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/72034