Close category search window
 

Use of kernels of bicausal operators in scalar gain-phase predictive 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 $31
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

3 Author(s)
Chang, A.O.T. ; Dept. of Eng. Sci., Oxford Univ., UK ; Kouvaritakis, B. ; Rossiter, J.A.

The implementation of the decomposition of linear discrete-time multivariable problems through either singular values/principal directions, or eigenvalues/eigenvectors is inherently anticausal. One way to avoid this is to introduce a 'pseudodelay' into the controller, but this is undesirable. Here the problem is examined in the scalar case, and a new algorithm proposed which deploys a kernel to characterise all the available degrees of freedom, and thus overcome completely the problems of delay and anticausality.

Published in:
Control Theory and Applications, IEE Proceedings D  (Volume:140 ,  Issue: 2 )

Date of Publication: Mar 1993

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.