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Sequential Parameter Identification of Fractional-Order Duffing System Based on Differential Evolution Algorithm
Using the dynamic properties of fractional-order Duffing system, a sequential parameter identification method based on differential evolution optimization algorithm is proposed for the fractional-order Duffing system. Due to the step by step parameter identification method, the dimension of paramete...
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Published in: | Mathematical problems in engineering 2017-01, Vol.2017 (2017), p.1-13 |
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container_title | Mathematical problems in engineering |
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creator | Zhang, Lu Zhong, Suchuan Ji, Yuan-Dong Lai, Li |
description | Using the dynamic properties of fractional-order Duffing system, a sequential parameter identification method based on differential evolution optimization algorithm is proposed for the fractional-order Duffing system. Due to the step by step parameter identification method, the dimension of parameter identification of each step is greatly reduced and the search capability of the differential evolution algorithm has been greatly improved. The simulation results show that the proposed method has higher convergence reliability and accuracy of identification and also has high robustness in the presence of measurement noise. |
doi_str_mv | 10.1155/2017/3572365 |
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subjects | Calculus Computer simulation Evolutionary algorithms Foraging behavior Fractals Genetic algorithms Noise Noise measurement Optimization algorithms Parameter estimation Parameter identification Physics Signal processing Solid state physics |
title | Sequential Parameter Identification of Fractional-Order Duffing System Based on Differential Evolution Algorithm |
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