Parameter estimation of Wiener-Hammerstein system based on multi-population self-adaptive differential evolution algorithm
Jie Chu,
Junhong Li,
Yizhe Jiang
et al.
Abstract:PurposeThe Wiener-Hammerstein nonlinear system is made up of two dynamic linear subsystems in series with a static nonlinear subsystem, and it is widely used in electrical, mechanical, aerospace and other fields. This paper considers the parameter estimation of the Wiener-Hammerstein output error moving average (OEMA) system.Design/methodology/approachThe idea of multi-population and parameter self-adaptive identification is introduced, and a multi-population self-adaptive differential evolution (MPSADE) algor… Show more
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