Referenced Items are not available for this document.
A direct inverse neural network-based control scheme is presented and its performance tested by computer simulations using a nonlinear system. The adaptation of the neural network weights involved in the control scheme is carried out by means of a continuous-time variable structure control-based learning algorithm that enables an online approximation of the inverse transfer operator of the unknown system to be obtained. Further research is underway to prove conditions for assuring the stability of the proposed control scheme.
Published in:
Control, 1994. Control '94. International Conference on
(Volume:2
)
Date of Conference: 21-24 March 1994
- Page(s):
- 955 - 960 vol.2
- Meeting Date :
- 21 Mar 1994-24 Mar 1994
- Print ISBN:
- 0-85296-610-5
- INSPEC Accession Number:
- 4700981
- Conference Location :
- Coventry, UK
- Digital Object Identifier :
- 10.1049/cp:19940263
- Product Type:
- Conference Publications
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