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

Tuning of the continuous-time Kalman filter from sampled data

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)
Haverkamp, B.R.J. ; Delft Univ. of Technol., Netherlands ; Verhaegen, M. ; Chou, C.T. ; Johansson, R.

This paper introduces a novel way to identify a stochastic continuous-time state space systems from sampled data. This allows us to tune a continuous-time Kalman filter. The key in solving this identification problem is the use a bank of Laguerre filters, which is used to transform the original system description to a so called w-domain

Published in:

American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

Date of Conference:


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.