Intermittent Pinning Synchronization of Memristor-Based Switching Networks With Multi-Links and Mixed Delays

In this paper, a new dynamical model of memristor-based switching networks (MSNs) with multi-links and mixed time-varying delays is proposed based on the real structure of neurons. We design a kind of switched intermittent pinning control law to realize the synchronization of the proposed MSNs which is flexible in lowering the control cost. With the key theory of the differential inclusions, some effective synchronization criteria are derived to ensure the asymptotic synchronization and the exponential synchronization between the drive and response networks. Finally, numerical simulations demonstrate the correctness of our results.

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