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...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Taylor & Francis Group
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/174742da321944369f94f5a1489eb705 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|