By Topic

Wavelet-based identification of fast linear time-varying systems using function space methods

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)
Zhao, H. ; Dept. of Mech. & Ind. Eng., Illinois Univ., Urbana, IL, USA ; Bentsman, J.

The present work proposes a rigorous general framework and a rapidly convergent identification algorithm for high speed identification of fast linear time-varying systems in short time intervals. The identification speed-up is attained via utilizing both time and frequency localized bases. This feature permits identification of fewer coefficients without noticeable loss of accuracy of the identification results. Under an assumption that the inputs and outputs of the plants considered in the present work belong to lp spaces, where p=2 or p=∞, their impulse responses are shown to belong to Banach spaces. Further on, by demonstrating that the set of all BIBO systems is a Banach space, the system modeling and identification are shown to be reducible to linear approximation problems in a Banach space setting. Simulation shows that the resulting identification algorithms can reject small persistent random disturbances as well as generate the short-term spiky descriptions of fast linear time-varying systems with nonsmooth coefficients

Published in:

American Control Conference, 2000. Proceedings of the 2000  (Volume:2 )

Date of Conference: