Name
Title | ||
|---|---|---|
Finite-time synchronization of quaternion-valued neural networks with delays: A switching control method without decomposition |
Abstract | ||
|---|---|---|
For a class of quaternion-valued neural networks (QVNNs) with discrete and distributed time delays, its finite-time synchronization (FTSYN) is addressed in this paper. Instead of decomposition, a direct analytical method named two-step analysis is proposed. That method can always be used to study FTSYN, under either 1-norm or 2-norm of quaternion. Compared with the decomposing method, the two-step method is also suitable for models that are not easily decomposed. Furthermore, a switching controller based on the two-step method is proposed. In addition, two criteria are given to realize the FTSYN of QVNNs. At last, three numerical examples illustrate the feasibility, effectiveness and practicability of our method. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.neunet.2021.12.012 | Neural Networks |
Keywords | DocType | Volume |
Finite-time synchronization,Quaternion-valued neural networks,Time delays,Switching control method without decomposition | Journal | 148 |
Issue | ISSN | Citations |
1 | 0893-6080 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Peng | 1 | 0 | 0.68 |
| Jie Zhong | 2 | 171 | 14.53 |
| Zhengwen Tu | 3 | 220 | 12.78 |
| Jianquan Lu | 4 | 2337 | 116.05 |
| jungang lou | 5 | 184 | 17.24 |