By Topic

Robust output-feedback control of strict-feedback systems with unknown nonlinearities

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)
Arslan, G. ; Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA ; Basar, T.

We study the problem of output tracking for uncertain strict-feedback systems with output and derivative information. The unknown nonlinear terms in the system description are not linearly parametrized, but it is assumed that the optimal parameters that characterize a neural net based approximation to the nonlinearities lie within a known compact set. The proposed controllers, with output and derivative information, guarantee the boundedness of all signals in the closed-loop system, and, at the expense of increased control effort, the output tracking error can be driven to an arbitrarily small neighborhood of the origin arbitrarily fast. Also, the closed loop signals satisfy a relevant disturbance attenuation inequality, which, under certain conditions, implies asymptotic tracking

Published in:

Decision and Control, 1999. Proceedings of the 38th IEEE Conference on  (Volume:5 )

Date of Conference: