By Topic

Nonlinear system adaptive trajectory tracking by dynamic neural control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Sanchez, E.N. ; CINVESTAV, Guadalajara, Mexico ; Bernal, M.A.

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