Name
Title | ||
|---|---|---|
A Dynamic Event-Triggered Approach to State Estimation for Switched Memristive Neural Networks With Nonhomogeneous Sojourn Probabilities |
Abstract | ||
|---|---|---|
This paper investigates the state estimation for switched memristive neural networks with nonhomogeneous sojourn probabilities. Essentially different from most current literature, a novel switching law is developed to depict the dynamic behavior of switched memristive neural networks, in which the sojourn probabilities of each subsystem are assumed to be nonhomogeneous, and a higher-level determin... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSI.2021.3117694 | IEEE Transactions on Circuits and Systems I: Regular Papers |
Keywords | DocType | Volume |
Switches,Markov processes,State estimation,Switched systems,Memristors,Market research,Dynamical systems | Journal | 68 |
Issue | ISSN | Citations |
12 | 1549-8328 | 8 |
PageRank | References | Authors |
0.43 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Cheng | 1 | 536 | 43.22 |
| Lidan Liang | 2 | 8 | 0.43 |
| Ju H. Park | 3 | 5878 | 330.37 |
| Huaicheng Yan | 4 | 14 | 4.92 |
| Ke-Zan Li | 5 | 29 | 3.74 |