Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin

This paper presents a Radial Basis Function Neural Network (RBFNN) approach to design a separately excited DC motor speed controller, which behaves similar to PI controller. The RBFNN is set up by writing a program to create a 'black box', which will then applied to MA TLAB-SIMULINK. A clo...

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書誌詳細
第一著者: Kamaruddin, Azrin
フォーマット: 学位論文
言語:English
出版事項: 2003
主題:
オンライン・アクセス:https://ir.uitm.edu.my/id/eprint/77961/1/77961.pdf
https://ir.uitm.edu.my/id/eprint/77961/
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