|Adaptive Synchronization between Two Non-identical BAM Neural Networks with Unknown Parameters and Time-varying Delays
Mostafa Zarefard and Sohrab Effati*
International Journal of Control, Automation, and Systems, vol. 15, no. 4, pp.1877-1887, 2017
Abstract : "In this paper, the synchronization of two non-identical bidirectional associative memory (BAM) neural
networks with unknown parameters and time-varying delays is investigated. Two adaptive controllers are designed
to guarantee the global asymptotic synchronization of state trajectories for two non-identical BAM neural networks.
Lyapunov stability theory and Barbalat’s lemma are used to guarantee the synchronization of response and drive
systems. Finally, an illustrative example is given to demonstrate the effectiveness of the presented synchronization
"Adaptive synchronization, bidirectional associative memory neural networks, Lyapunov stability, timevarying, unknown parameters."