@inproceedings{oai:nagasaki-u.repo.nii.ac.jp:00015290,
 author = {Kurokawa, Fujio and Maruta, Hidenori and Mizoguchi, Tomoyuki and Nakamura, Akihiro and Osuga, Hiroyuki},
 book = {2009 International Conference on Machine Learning and Applications},
 month = {Dec},
 note = {The purpose of this paper is to present a new digital control method of the forward type multiple-output dc-dc converter with both a P-I-D feedback and a new feed forward control. In this converter, two novel control methods are proposed. The first new control method is a model method and the second new method is a neural network predictor. The dynamic characteristics of digital control dc-dc converter are improved as compared with the conventional one. Especially, the digital control dc-dc converter with method of the neural network can be realized excellent dynamic characteristics. As a result, the undershoot of the output voltage and the overshoot of reactor current are improved to 45% and 26% , respectively., 2009 International Conference on Machine Learning and Applications (ICMLA) : Miami, FL, USA, 2009.12.13-2009.12.15, ICMLA 2009, pp.638-643},
 pages = {638--643},
 publisher = {IEEE},
 title = {A New Digital Control DC-DC Converter with Multi-layer Neural Network Predictor},
 year = {2009}
}