Synchronization of Delayed Memristive Neural Networks: Robust Analysis Approach.

IEEE Transactions on Cybernetics(2016)

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摘要
This paper considers the asymptotic and finite-time synchronization of drive-response memristive neural networks (MNNs) with time-varying delays. It is known that the parameters of MNNs are state-dependent, and hence the traditional robust control and analytical techniques cannot be directly applied. This difficulty is overcome by using the concept of Filippov solution. However, the special charac...
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关键词
Synchronization,Memristors,Delays,Artificial neural networks,Robustness,Multi-layer neural network,Asymptotic stability
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