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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| Format: | Thesis |
| Language: | English |
| Published: |
2003
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| Online Access: | https://ir.uitm.edu.my/id/eprint/77961/1/77961.pdf https://ir.uitm.edu.my/id/eprint/77961/ |
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