Name
Title | ||
|---|---|---|
Exponential convergence rate estimation for neutral BAM neural networks with mixed time-delays |
Abstract | ||
|---|---|---|
This paper is concerned with the exponential stability analysis problem for a class of neutral bidirectional associative memory neural networks with mixed time-delays, where discrete, distributed and neutral delays are involved. By utilizing the delay decomposition approach and an appropriately constructed Lyapunov–Krasovskii functional, some novel delay-dependent and decay rate-dependent criteria for the exponential stability of the considered neural networks are derived and presented in terms of linear matrix inequalities. Furthermore, the maximum allowable decay rate can be estimated based on the obtained results. Three numerical examples are given to demonstrate the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s00521-010-0415-3 | Neural Computing and Applications |
Keywords | DocType | Volume |
delay decomposition approach,exponential stability analysis problem,exponential stability,neutral BAM neural network,neutral delay,maximum allowable decay rate,neural network,decay rate-dependent criterion,linear matrix inequality,exponential convergence rate estimation,mixed time-delays,neutral bam neural networks � mixed time-delaysdelay decomposition � exponential stabilitylinear matrix inequalities lmis,neutral bidirectional associative memory | Journal | 20 |
Issue | ISSN | Citations |
3 | 1433-3058 | 5 |
PageRank | References | Authors |
0.45 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Chen | 1 | 27 | 3.37 |
| Li Yu | 2 | 1509 | 116.88 |
| Wen-an Zhang | 3 | 952 | 59.07 |