Cart (Loading....) | Create Account
Close category search window
 

Nonparametric identification of a particular nonlinear time series system

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)
Pawlak, M. ; Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

A nonlinear time series system of cascade structure is identified. The system consists of a nonlinear memoryless element followed by a dynamic linear subsystem. Given a color Gaussian input, the Hermite polynomials based method for recovering the system nonlinearity is presented. The algorithm is carried out by solving an integral equation related to the identification problem. The consistency along with rates of convergence is established. No assumptions concerning continuity of the characteristic or its functional form are required

Published in:

Decision and Control, 1990., Proceedings of the 29th IEEE Conference on

Date of Conference:

5-7 Dec 1990

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.