On-line identification of synchronous machines using radial basisfunction neural networks
On-line identification of the synchronous machines using radial basis function neural network (RBFNN) is presented in this paper. The capability of the proposed identifier to capture the nonlinear operating characteristics of the synchronous machine is illustrated. The results of the proposed identi...
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| Other Authors: | , |
| Format: | article |
| Published: |
1997
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14217/1/14217_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14217/2/14217_2.doc |
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