Name
Title | ||
|---|---|---|
Leakage delay on stabilization of finite-time complex-valued BAM neural network: Decomposition approach |
Abstract | ||
|---|---|---|
This paper investigates the finite-time stabilization (FTS) problem of leakage delay on complex-valued bidirectional associative memory (BAM) neural networks (CVBAMNNs) with time delays via decomposition approach. This analysis is on the basis of some novel sufficient conditions that the FTS of CVBAMNNs are obtained via Lyapunov functional and upper right Dini derivative concepts. The complex-valued nonlinear function is divided into its real and imaginary components to a set of criteria for the FTS using decomposition technique of CVBAMNNs. We develop feedback controllers in the context of the double-layer structure of the CVBAMNNs. Finally, one numerical example is offered to show the availability of the findings achieved. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2021.08.056 | Neurocomputing |
Keywords | DocType | Volume |
Leakage delay,Complex-valued BAM neural networks,Finite-time stabilization,Decomposition approach | Journal | 463 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Cao | 1 | 202 | 24.82 |
| S. Ramajayam | 2 | 0 | 0.34 |
| Ramalingam Sriraman | 3 | 6 | 1.44 |
| R. Samidurai | 4 | 275 | 15.47 |