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Parameter estimation for chaotic systems with and without noise using differential evolution-based method |
Li Nian-Qiang (李念强), Pan Wei (潘炜), Yan Lian-Shan (闫连山), Luo Bin (罗斌), Xu Ming-Feng (徐明峰), Jiang Ning (江宁) |
Centre for Information Photonics and Communications, Southwest Jiaotong University, Chengdu 610031, China |
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Abstract We present an approach in which the differential evolution (DE) algorithm is used to address identification problems in chaotic systems with or without delay terms. Unlike existing considerations, the scheme is able to simultaneously extract (i) the commonly considered parameters, (ii) the delay, and (iii) the initial state. The main goal is to present and verify the robustness against the common white Guassian noise of the DE-based method. Results of the time-delay logistic system, the Mackey-Glass system and the Lorenz system are also presented.
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Received: 04 December 2010
Revised: 24 January 2011
Accepted manuscript online:
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PACS:
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05.45.-a
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(Nonlinear dynamics and chaos)
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74.70.De
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Fund: Project supported by the National Natural Science Foundation of China (Grant No. 60976039). |
Cite this article:
Li Nian-Qiang (李念强), Pan Wei (潘炜), Yan Lian-Shan (闫连山), Luo Bin (罗斌), Xu Ming-Feng (徐明峰), Jiang Ning (江宁) Parameter estimation for chaotic systems with and without noise using differential evolution-based method 2011 Chin. Phys. B 20 060502
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