Novel Interval Parameter Identification Method Using Augmented Fourier Series-Based Polynomial Surrogate Model

Novel Interval Parameter Identification Method Using Augmented Fourier Series-Based Polynomial Surrogate Model

Traditional probabilistic-based parameter identification methods cannot operate in practical engineering systems without sufficient available measurements. To overcome this drawback, a novel augmented Fourier polynomial-based interval parameter identification method is proposed in this paper. First,...

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Bibliographic Details
Main Authors: Wang Xiaoguang, He Weiliang, Zhao Linggong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Interval theory
parameter identification
augmented Fourier series-based surrogate model
multi-objective optimization strategy
Online Access:https://ieeexplore.ieee.org/document/8726311/

Internet

https://ieeexplore.ieee.org/document/8726311/

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