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Synchronization-based approach for parameter identification in delayed chaotic network |
Cai Guo-Liang(蔡国梁)† and Shao Hai-Jian(邵海见) |
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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Received: 06 November 2009
Accepted manuscript online:
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PACS:
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05.45.Xt
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(Synchronization; coupled oscillators)
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05.45.Gg
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(Control of chaos, applications of chaos)
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Fund: 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 |
Cite this article:
Cai Guo-Liang(蔡国梁) and Shao Hai-Jian(邵海见) Synchronization-based approach for parameter identification in delayed chaotic network 2010 Chin. Phys. B 19 060507
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