Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks

In this paper, we consider the simplified memristor-based neural networks with time-varying delay, under the framework of Filippov's solution and differential inclusion theory, by structuring novel Lyapunov functional and employing feedback control technique, adopting feedback controller, anti-synchronization criteria for memristor-based neural networks with time-varying delay are derived, which depend on the jumps parameter T-i, hence the proposed criteria are more general than existing reference. Finally, an example is provided to show the effectiveness of theoretical result.