Referenced Items are not available for this document.
Stability conditions for a parallel dynamic neural network by means of Lyapunov-like analysis are determined. The new learning law ensures that the identification error converges to zero (model matching) or to a bounded zone (with unmodelled dynamics). Based on the neural identifier we present a local optimal controller and analyse the tracking error. Our principal contributions are that we provide a bound for the identification error of the parallel neuro identifier and that we then establish a bound for the tracking error of the neurocontrol
Published in:
Control Theory and Applications, IEE Proceedings -
(Volume:146
,
Issue:
1
)
Date of Publication: Jan 1999
- Page(s):
- 25 - 30
- ISSN :
- 1350-2379
- INSPEC Accession Number:
- 6221182
- Digital Object Identifier :
- 10.1049/ip-cta:19990368
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jan 1999
- Sponsored by :
- IET
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