Synchronization stability for recurrent neural networks with time-varying delays
Ahmadjan Muhammadhaji, Azhar Halik · ScienceAsia · 2019
This paper studies the general decay synchronization (GDS) of a class of recurrent neural networks (RNNs) with general activation functions and time-varying delays.By constructing suitable Lyapunov-Krasovskii functionals and employing useful inequality techniques, some sufficient conditions on the GDS of considered RNNs are established via a type of nonlinear control.In addition, an example with numerical simulations is presented to illustrate the obtained theoretical results.