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

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 event-triggered 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.

Inspec keywords: robust control; neural nets; linear matrix inequalities; synchronisation; time-varying systems; Lyapunov methods; uncertain systems

Other keywords: MWCNN; multiweighted coupled neural networks model; robust synchronisation criteria; Lyapunov stability theory; parameter uncertainties; event-triggered communication; robust passivity; output-strict passivity condition

Subjects: Neural nets (theory); Algebra; Time-varying control systems; Stability in control theory

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