| Synchronization-based approach for parameter identification in delayed chaotic network |
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| 作者姓名： | 蔡国梁 邵海见 |
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| 作者单位： | Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang
212013, China;Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang
212013, China |
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| 基金项目： | Project supported by the National
Natural Science Foundation of China (Grant Nos.~70571030 and
90610031), the Social Science Foundation from Ministry of Education
of China (Grant No.~08JA790057) and the Advanced Talents' Foundation
and Student's Foundatio |
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| 摘 要： | This paper introduces an adaptive procedure for the problem of synchronization and parameter identification for chaotic networks with time-varying delay by combining adaptive control and linear feedback.In particular,we consider that the equations i (t) (for i=r + 1,r + 2,…,n) can be expressed by the former i (t) (for i=1,2,…,r),which is not the same as the previous equation.This approach is also able to track changes in the operating parameters of chaotic networks rapidly and the speed of synchronization and parameter estimation can be adjusted.In addition,this method is quite robust against the effect of slight noise and the estimated value of a parameter fluctuates around the correct value.
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| 关 键 词： | chaotic network parameter identification synchronization time-varying delay |
| 收稿时间： | 2009-11-06 |
Synchronization-based approach for parameter identification in delayed chaotic network |
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| Cai Guo-Liang and Shao Hai-Jian.Synchronization-based approach for parameter identification in delayed chaotic network[J].Chinese Physics B,2010,19(6):60507-060507. |
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| Authors: | Cai Guo-Liang and Shao Hai-Jian |
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| Institution: | Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang
212013, China |
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| Abstract: | This paper introduces an adaptive procedure for the problem
of synchronization and parameter identification for chaotic
networks with time-varying delay by combining adaptive control
and linear feedback. In particular, we consider that the equations
$\dot {x}_i (t)$ (for $i =r+1$, $r+2,\ldots , n$) can be expressed
by the former $\dot {x}_i (t)$ (for $i = 1, 2,\ldots , r)$, which is
not the same as the previous equation. This approach is also able to
track changes in the operating parameters of chaotic
networks rapidly and the speed of synchronization and parameter
estimation can be adjusted. In addition, this method is quite robust
against the effect of slight noise and the estimated value of a
parameter fluctuates around the correct value. |
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| Keywords: | chaotic network parameter identification synchronization time-varying delay |
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