Referenced Items are not available for this document.
A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. A necessary and sufficient condition for uniform convergence of the proposed learning algorithm is presented. Then, we prove that the same condition is sufficient for the global robustness of the proposed learning algorithm to state disturbances, measurement noise at the output, and reinitialization error are present at each iteration. A numerical example is given to illustrate the results
Published in:
Automatic Control, IEEE Transactions on
(Volume:40
,
Issue:
6
)
Date of Publication: Jun 1995
- Page(s):
- 1138 - 1142
- ISSN :
- 0018-9286
- INSPEC Accession Number:
- 4994560
- Digital Object Identifier :
- 10.1109/9.388702
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jun 1995
- Sponsored by :
- IEEE Control Systems Society
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.
