Global synchronization for hybrid coupled neural networks with interval time-varying delays: A matrix-based quadratic convex approach
Thongchai Botmart, Narongsak Yotha, Kanit Mukdasai, Supreecha Wongaree · Asian-European Journal of Mathematics · 2016
This paper is concerned with the global synchronization problems for coupled neural networks (NNs) with hybrid coupling and interval time-varying delays. An appropriate Lyapunov–Krasovskii functional (LKF) and Kronecker product properties are used to form some new delay-dependent synchronization conditions in terms of linear matrix inequalities. A matrix-based quadratic convex approach introduce for sufficient conditions to ensure global synchronization where the time-varying delay is continuous uniformly bounded and its time-derivative bounded by upper and lower bounds. Simulation results are given to show the effectiveness and benefits of the proposed methods.