The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Exponential Adaptive Lag Synchronization of Memristive Neural Networks via Fuzzy Method and Applications in Pseudorandom Number Generators
Abstract
This paper investigates the problem of exponential lag synchronization control of memristive neural networks (MNNs) via the fuzzy method and applications in pseudorandom number generators. Based on the knowledge of memristor and recurrent neural networks, the model of MNNs is established. Then, considering the state-dependent properties of memristor, a fuzzy model of MNNs is employed to provide a new way of analyzing the complicated MNNs with only two subsystems, and update laws for the connection weights of slave systems and controller gain are designed to make the slave systems exponentially lag synchronized with the master systems. Two examples about synchronization problems are presented to show the effectiveness of the obtained results, and an application of the obtained theory is also given in the pseudorandom number generator.
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Cites
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BackgroundInfluentialNanoscale Memristor Device as Synapse in Neuromorphic Systems
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“INTRODUCTION Although current digital computers can now possess computing speed and complexity to emulate the brain functionality of animals like a spiders, mice, and cats [1], [2], the associated energy dissipation in the system grows exponentially along the hierarchy of animal intelligence, as the sequential process…”
BackgroundRobust sampled-data stabilization of linear systems: an input delay approach
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A Simple Unpredictable Pseudo-Random Number Generator
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Global convergence of neural networks with discontinuous neuron activations
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Cited by
Circuit design and exponential stabilization of memristive neural networks
Wen, S., Huang, T., Zeng, Z., Chen, Y., & Li, P. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.10.011 · Cited by 178
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Metadata
- Authors
- Wen, S., Zeng, Z., Huang, T., & Zhang, Y.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2014-12
- Volume
- 22
- Issue
- 6
- Pages
- 1704-1713
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W2003403621
- Cited by
- 289
- References
- 40
- FWCI
- 44.30
- Type
- journal article
- Language
- en
- Open access
- closed
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