Referenced Items are not available for this document.
In this article, new nonlinear control techniques based on dynamic neural networks are presented. The authors discuss the implementation of a modified identification algorithm using dynamic neural networks as well as a control law, based on the neural identifier, which eliminates modeling error effects via sliding mode techniques. Simulation and real time results are presented for systems like an inverted pendulum and a full actuated robot manipulator
Published in:
Neural Networks, 1999. IJCNN '99. International Joint Conference on
(Volume:3
)
Date of Conference: 1999
- Page(s):
- 2114 - 2118 vol.3
- Meeting Date :
- 10 Jul 1999-16 Jul 1999
- ISSN :
- 1098-7576
- Print ISBN:
- 0-7803-5529-6
- INSPEC Accession Number:
- 6589783
- Conference Location :
- Washington, DC
- Digital Object Identifier :
- 10.1109/IJCNN.1999.832713
- Product Type:
- Conference Publications
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