Finite-time anti-synchronization of multi-weighted coupled neural networks with and without coupling delays
Hou, Jie and Huang, Yanli and Yang, Erfu (2019) Finite-time anti-synchronization of multi-weighted coupled neural networks with and without coupling delays. Neural Processing Letters, 50 (3). pp. 2871-2898. ISSN 1370-4621
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Abstract
The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are investigated in this paper. Firstly, the finite-time anti-synchronization of MWCNNs with fixed topology and switching topology is analyzed respectively by utilizing Lyapunov functional approach as well as some inequality techniques, and several anti-synchronization criteria are put forward for the considered networks. Furthermore, when the parameter uncertainties appear in MWCNNs, some conditions for ensuring robust finite-time anti-synchronization are obtained. Similarly, we also consider the finite-time anti-synchronization and robust finite-time anti-synchronization for MWCNNs with coupling delays under fixed and switched topologies respectively. Lastly, two numerical examples with simulations are provided to confirm the effectiveness of these derived results.
Creators(s): |
Hou, Jie, Huang, Yanli and Yang, Erfu ![]() | Item type: | Article |
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ID code: | 68585 |
Notes: | This is a post-peer-review, pre-copyedit version of an article published in Neural Processing Letters. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11063-019-10069-x. |
Keywords: | finite-time anti-synchronization, coupled neural networks, multiple weights, robust anti-synchronization, switching topology, Electrical engineering. Electronics Nuclear engineering, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering |
Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
Department: | Faculty of Engineering > Design, Manufacture and Engineering Management |
Depositing user: | Pure Administrator |
Date deposited: | 25 Jun 2019 13:39 |
Last modified: | 21 Jan 2021 11:02 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/68585 |
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