Mixed-Delay-Dependent Augmented Functional for Synchronization of Uncertain Neutral-Type Neural Networks with Sampled-Data Control

In this paper, the synchronization problem of uncertain neutral-type neural networks (NTNNs) with sampled-data control is investigated. First, a mixed-delay-dependent augmented Lyapunov–Krasovskii functional (LKF) proposed, which not only considers interaction between transmission delay and communication delay, but also takes interconnected relationship neutral into consideration. Then, two-sided looped involved in LKF, effectively utilizes information on intervals [tk,t], [tk−τ,t−τ],[t,tk+1),[t−τ,tk+1−τ). Furthermore, based suitable LKF free-matrix-based integral inequality, two criteria via controller considering are derived forms linear matrix inequalities (LMIs). Finally, three numerical examples carried out to confirm validity proposed criteria.