Event-triggered communication for passivity and synchronisation of multi-weighted coupled neural networks with and without parameter uncertainties

Tools

Wang, Yihao and Huang, Yanli and Yang, Erfu (2020) Event-triggered communication for passivity and synchronisation of multi-weighted coupled neural networks with and without parameter uncertainties. IET Control Theory and Applications, 14 (9). pp. 1228-1239. ISSN 1751-8644 (https://doi.org/10.1049/iet-cta.2019.0852)

[thumbnail of Wang-etal-IET-CTA-2020-Event-triggered-communication-for-passivity-and-synchronization]
Preview
 Text. Filename: Wang_etal_IET_CTA_2020_Event_triggered_communication_for_passivity_and_synchronization.pdf
Accepted Author Manuscript
Download (1MB)| Preview

Abstract

A multi-weighted coupled neural networks (MWCNNs) model with event-triggered communication is studied here. On the one hand, the passivity of the presented network model is studied by utilising Lyapunov stability theory and some inequality techniques, and a synchronisation criterion based on the obtained output-strict passivity condition of MWCNNs with eventtriggered communication is derived. On the other hand, some robust passivity and robust synchronisation criteria based on output-strict passivity of the proposed network with uncertain parameters are presented. At last, two numerical examples are provided to testify the effectiveness of the output-strict passivity and robust synchronisation results.

ORCID iDs

Wang, Yihao, Huang, Yanli and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;
CORE (COnnecting REpositories)