Name
Title | ||
|---|---|---|
Finite-time non-fragile state estimation for discrete neural networks with sensor failures, time-varying delays and randomly occurring sensor nonlinearity |
Abstract | ||
|---|---|---|
•The considered system is modeled as a kind of nonlinear singular neural network.•A finite-time state estimation algorithm is provided for the singular system.•A finite-time non-fragile state estimation algorithm is given to avoid the estimator’s parameter perturbation. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jfranklin.2018.10.032 | Journal of the Franklin Institute |
Field | DocType | Volume |
Nonlinear system,State estimator,Control theory,Fragile state,Artificial neural network,Perturbation (astronomy),Mathematics,Estimator,Finite time | Journal | 356 |
Issue | ISSN | Citations |
3 | 0016-0032 | 0 |
PageRank | References | Authors |
0.34 | 28 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian-Ning Li | 1 | 44 | 4.74 |
| Yu-Fei Xu | 2 | 0 | 0.68 |
| Wen-Dong Bao | 3 | 10 | 1.17 |
| Zhu-Jian Li | 4 | 0 | 0.34 |
| Linsheng Li | 5 | 15 | 3.94 |