Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Neural networks based NARX models in nonlinear adaptive 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

1 Author(s)
Dzielinski, A. ; Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Poland

The paper discusses the applicability of approximate NARX models of nonlinear dynamic systems. The models are obtained by a new version of Fourier analysis based neural network also described in the paper. This is a reformulation of a method, already presented, in a recursive manner, i.e., adapted to account for incoming data online. The method allows us to obtain an approximate model of the nonlinear system. The estimation of the influence of the modelling error on the discrepancy between the model output and real system output is given. The possible applications of this approach to the design of BIBO stable closed-loop control are proposed

Published in:

Neural Networks, 1999. IJCNN '99. International Joint Conference on  (Volume:3 )

Date of Conference:

1999