Abstract
Several approaches have been taken in the past
to deal with uncertainty in constrained predictive control. The major drawbacks of these efforts are usually either conservativeness
and/or on-line computational complexity. In this work
we examine the possibility of dealing with uncertainty through
the use of the primary and the dual Youla parameterizations.
The dual Youla parameter can be seen as a frequency weighted
measure of the uncertainty and the primary Youla parameter
can be seen as a controller for this uncertainty. The work is an
application of the methodology in [12] to constraint control.
Original language | English |
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Title of host publication | Proceedings of the 48th IEEE Conference on Decision and Control |
Publisher | IEEE |
Publication date | 2008 |
Pages | 3421-3426 |
ISBN (Print) | 978-1-4244-3124-3 |
DOIs | |
Publication status | Published - 2008 |
Event | 47th IEEE Conference on Decision and Control - Fiesta Americana Grand Coral Beach, Cancun, Mexico Duration: 9 Dec 2008 → 11 Dec 2008 Conference number: 47 |
Conference
Conference | 47th IEEE Conference on Decision and Control |
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Number | 47 |
Location | Fiesta Americana Grand Coral Beach |
Country/Territory | Mexico |
City | Cancun |
Period | 09/12/2008 → 11/12/2008 |
Bibliographical note
Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEEKeywords
- Model predictive control
- Uncertain systems
- Youla parameterization