Identification of DC motor drive system model using Radial Basis Function (RBF) neural network
In this paper, we present a Radial Basis Function Neural Network (RBFNN)-based Nonlinear Auto-Regressive Model with Exegeneous Inputs (NARX) model of a DC motor drive controller model by (Rahim, 2004). Tests were conducted to measure the accuracy of the model (using One Step Ahead (OSA) and its vali...
| Published in: | 2011 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2011 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
2011
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855691826&doi=10.1109%2fISIEA.2011.6108685&partnerID=40&md5=9df1bc04a9f5e754de8a179097fa6d93 |