Referenced Items are not available for this document.
A neural network approach to a system identification problem is presented. Traditional system identification techniques require knowledge of the model structure before parameter estimation methods can be applied. This approach requires less a priori information and the knowledge of model structure is not essential. A simulation study on a power system has demonstrated the application of this technique
Published in:
Control Theory and Applications, IEE Proceedings -
(Volume:142
,
Issue:
4
)
Date of Publication: Jul 1995
- Page(s):
- 257 - 264
- ISSN :
- 1350-2379
- INSPEC Accession Number:
- 5059263
- Digital Object Identifier :
- 10.1049/ip-cta:19951881
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jul 1995
- Sponsored by :
- IET
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