This paper is concerned with the exponential synchronization problem of coupled memristive neural networks.In contrast to general neural networks,memristive neural networks exhibit state-dependent switching behaviors due to the physical properties of memristors.Under a mild topology condition,it is proved that a small fraction of controlled subsystems can efficiently synchronize the coupled systems.The pinned subsystems are identified via a search algorithm.Moreover,the information exchange network needs not to be undirected or strongly connected.Finally,two numerical simulations are performed to verify the usefulness and effectiveness of our results.
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