H∞ state estimation for discrete memristive neural networks with signal quantization and probabilistic time delay
In this paper, the problem of $ H_{\infty } $ state estimation is discussed for a class of delayed discrete memristive neural networks with signal quantization. A random variable obeying the Bernoulli distribution is used to describe the probabilistic time delay. A switching function is introduced t...
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| Main Authors: | , , |
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| Format: | article |
| Language: | EN |
| Published: |
Taylor & Francis Group
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/174742da321944369f94f5a1489eb705 |
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