Hybrid-Dependent Event-Triggered Schemes for T–S Fuzzy Memristive NNs With Nondifferentiable Delay

Abstract

This article introduces hybrid-dependent event-triggered schemes for global asymptotical synchronization (GAS) of Takagi–Sugeno fuzzy memristive neural networks (FMNNs) with nondifferentiable time-varying delays. First, some schemes incorporating an exponential decay rate function with tunable parameters are established. Under these schemes, sufficient conditions for GAS of FMNNs are derived by formulating a delayed differential inequality. This approach eliminates the necessity for constructing complex Lyapunov functionals and effectively accommodates nondifferentiable delay terms. Notably, this is accomplished by a nonchattering event-triggered controller. In addition, Zeno behavior is precluded by proving the existence of a positive lower bound on the interexecution time. Finally, numerical simulation is provided to validate the effectiveness of these theoretical results.