Sequential Parameter Identification of Fractional-Order Duffing System Based on Differential Evolution Algorithm
Keyword(s):
System A
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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.
2020 ◽
Vol 752
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pp. 012017
Reduced-Order Model Approximation of Fractional-Order Systems Using Differential Evolution Algorithm
2017 ◽
Vol 29
(1)
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pp. 32-43
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2017 ◽
Vol 13
(1)
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pp. 32