Referenced Items are not available for this document.
We address the problem of control of uncertain systems with time delays. Using the fuzzy logic control and artificial neural network methodologies, we present a self-learning fuzzy neural control scheme for general uncertain processes. In this scheme, a neural network compensator is designed instead of the classical Smith predictor for attenuating the adverse effects of time delays of the uncertain systems. The scheme has been used in control of welding pool dynamics of the arc welding process, and the experiment results show the control scheme available
Published in:
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
(Volume:27
,
Issue:
1
)
Date of Publication: Feb 1997
- Page(s):
- 142 - 148
- ISSN :
- 1083-4419
- INSPEC Accession Number:
- 5492194
- Digital Object Identifier :
- 10.1109/3477.552196
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Feb 1997
- Sponsored by :
- IEEE Systems, Man, and Cybernetics Society
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