Abstract
This paper proposes a robust exponential synchronization of inertial memristor-based recurrent neural networks with time-varying delays on impulsive effects. By Using a variable transmission, the original second-order system can be transformed into first-order differential system. Impulse is considered when modeling uncertain inertial memristive recurrent neural networks simultaneously. By constructing Lyapunov functional and designing feedback controllers, several sufficient conditions are derived respectively for the synchronization of the drive-response systems. Finally, simulation results confirm the effectiveness of these obtained theoretical results.
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