- Abstract:
- This paper introduces methods of deriving and computing maximal robust positively invariant sets for linear discrete time systems with additive model uncertainty. Two types of uncertainty are considered: state dependent uncertainty, which can handle multiplicative parametric model uncertainty as well as linearisation errors for nonlinear systems, and scaled sets of uncertainty. We provide a framework for analysing both types of uncertainty with illustrative examples.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 601.4KB)
-
- Publisher copy:
- 10.1109/CDC.2015.7403414
-
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- Publisher:
- IEEE Publisher's website
- Volume:
- 2016-February
- Pages:
- 7560-7565
- Publication date:
- 2016-02-08
- DOI:
- ISSN:
-
0743-1546
- Pubs id:
-
pubs:618435
- URN:
-
uri:fc850065-243c-47de-843c-7c774645b7bb
- UUID:
-
uuid:fc850065-243c-47de-843c-7c774645b7bb
- Local pid:
- pubs:618435
- ISBN:
- 9781479978861
- Copyright holder:
- IEEE
- Copyright date:
- 2016
- Notes:
-
Copyright © 2015 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/CDC.2015.7403414
Conference item
Robust positively invariant sets for state dependent and scaled disturbances
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