Almost sure synchronization criteria of neutral-type neural networks with Lévy noise and sampled-data loss via event-triggered control.

Abstract This paper addresses the synchronization problem for neutral-type neural networks with Lévy noise and sampled-data loss. An event-triggered control scheme is employed to overcome occasional sampled-data loss and solve the synchronization problem, which is a sampling controller with selection mechanism. Under the scheme, the sampled data is not transmitted to plant unless a predetermined threshold condition is violated. The Lyapunov method and linear matrix inequality technique are employed to analyze almost sure stability of synchronization error system. Finally, the numerical example shows the effectiveness of the derived results. [ABSTRACT FROM AUTHOR]