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- W2385018371 abstract "A DC-DC converter can give rise to a great variety of behaviors and unstable output signals, depending on the values of the parameters of the circuit. The behaviors can become chaotic from stable work state and the output performance tends to be worse. In this paper, a PWM Buck converter is studied as a research object, the output signals of DC-DC converter in different parameters of the circuit are analyzed. A method of using neural network to identify chaotic behavior of DC-DC converter is put forward. The characteristic of the output signals of DC/DC converter is extracted firstly and the algorithm of BP is improved to quicken convergent speed. Finally, it validity is proven by simulation and experiment." @default.
- W2385018371 created "2016-06-24" @default.
- W2385018371 creator A5031849448 @default.
- W2385018371 date "2002-01-01" @default.
- W2385018371 modified "2023-09-28" @default.
- W2385018371 title "Identifying chaotic behavior ofDC-DC converter based on neural network" @default.
- W2385018371 hasPublicationYear "2002" @default.
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