By Topic

Variable structure neural network based direct adaptive robust control of uncertain systems

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

4 Author(s)
Jianming Lian ; Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN ; Yonggon Lee ; Sudhoff, S.D. ; Żak, S.H.

Direct adaptive robust state feedback and output feedback controllers are proposed for the output tracking control of a class of uncertain systems with disturbance. The proposed controllers employ self-organizing raised-cosine radial basis function networks, which are capable of determining their structures dynamically, to approximate unknown system dynamics. Radial basis functions of the network can be added or removed on-line in order to ensure the desired tracking accuracy and the computational efficiency simultaneously. The closed-loop systems are characterized by the guaranteed transient response and the final tracking accuracy. The performance of the proposed output feedback controller is illustrated by numerical simulations.

Published in:

American Control Conference, 2008

Date of Conference:

11-13 June 2008