Referenced Items are not available for this document.
This paper presents a scheme of multiple neural networks (MNNs) with a new strategy of combination. This combination can obtain an accumulative learning: the knowledge is increased by gradually adding more neural networks to the system. This scheme is applied to flexible link control via feedback-error-learning (FEL) strategy, here called multi-network-feedback-error-learning. Three different neural control approaches are used to control a flexible link, and it is shown that a better inverse dynamic model of the plant is obtained in this case.
Published in:
Aerospace and Electronic Systems, IEEE Transactions on
(Volume:46
,
Issue:
2
)
Date of Publication: April 2010
- Page(s):
- 508 - 524
- ISSN :
- 0018-9251
- INSPEC Accession Number:
- 11285301
- Digital Object Identifier :
- 10.1109/TAES.2010.5461638
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 May 2010
- Issue Date :
- April 2010
- Sponsored by :
- Aerospace & Electronic Systems Society
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