Name
Title | ||
|---|---|---|
New Noise-Tolerant ZNN Models With Predefined-Time Convergence for Time-Variant Sylvester Equation Solving |
Abstract | ||
|---|---|---|
Sylvester equation is often applied to various fields, such as mathematics and control systems due to its importance. Zeroing neural network (ZNN), as a systematic design method for time-variant problems, has been proved to be effective on solving Sylvester equation in the ideal conditions. In this paper, in order to realize the predefined-time convergence of the ZNN model and modify its robustnes... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TSMC.2019.2930646 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Mathematical model,Convergence,Artificial neural networks,Numerical models,Robustness,Analytical models | Journal | 51 |
Issue | ISSN | Citations |
6 | 2168-2216 | 3 |
PageRank | References | Authors |
0.36 | 22 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Xiao | 1 | 94 | 15.07 |
| Yongsheng Zhang | 2 | 204 | 43.58 |
| Jianhua Dai | 3 | 10 | 4.59 |
| Jichun Li | 4 | 7 | 4.24 |
| Weibing Li | 5 | 36 | 3.48 |