Pinning synchronization of coupled inertial delayed neural networks

Cogn Neurodyn. 2015 Jun;9(3):341-50. doi: 10.1007/s11571-014-9322-0. Epub 2014 Nov 26.

Abstract

The paper is devoted to the investigation of synchronization for an array of linearly and diffusively coupled inertial delayed neural networks (DNNs). By placing feedback control on a small fraction of network nodes, the entire coupled DNNs can be synchronized to a common objective trajectory asymptotically. Two different analysis methods, including matrix measure strategy and Lyapunov-Krasovskii function approach, are employed to provide sufficient criteria for the synchronization control problem. Comparisons of these two techniques are given at the end of the paper. Finally, an illustrative example is provided to show the effectiveness of the obtained theoretical results.

Keywords: Inertial delayed neural networks; Lyapunov–Krasovskii function; Matrix measure; Pinning synchronization.