Research Article
Synchronization of Chaotic Delayed Neural Networks via Impulsive Control
Table 1
When the impulsive matrix
is given,
,
corresponding to different (
,
) and algorithms.
| (, Algorithms) | (, ) | | | | | |
| (, (31)) | 0.0202 | 0.0288 | 0.0305 | 0.0356 | 0.0369 | (, (32)) | | | | | |
| (, (31)) | 0.0310 | 0.0401 | 0.0490 | 0.0718 | 0.0701 | (, (32)) | 0.0025 | 0.0163 | 0.0200 | 0.0259 | 0.0259 |
| (, (31)) | 0.0175 | 0.0266 | 0.0335 | 0.0483 | 0.0516 | (, (32)) | 0.0058 | 0.0094 | 0.0122 | 0.0023 | 0.0022 |
| (, (31)) | 0.0088 | 0.0168 | 0.0213 | 0.0245 | 0.0261 | (, (32)) | 0.0027 | 0.0020 | | 0.0056 | 0.0059 |
| (, (31)) | 0.0029 | 0.0057 | 0.0074 | 0.0093 | 0.0089 | (, (32)) | | 0.0011 | 0.0015 | 0.0019 | 0.0016 |
|
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