Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital

Summary

This study introduces a novel double Lyapunov method for stabilizing and synchronizing discrete-time delayed neural networks (DDNNs) with input disturbances. Variable gain controllers improve disturbance rejection and allow for larger impulse intervals.

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