Journal article
On-line H2, H∞, and pointwise uncertainty-bound quantification in identification of restricted-complexity models
IMA journal of mathematical control and information, Vol.13(3), pp.299-320
09/1996
DOI: 10.1093/imamci/13.3.299
Abstract
This paper considers the problem of on-line uncertainty-bound quantification in identification of restricted complexity models. Algorithms are presented which provide hard and tight upper bound on the unknown model uncertainty in H2, H∞, and pointwise sense respectively. The algorithms proposed are very simple, on-line, and recursive. This allows robust control and adaptive identification to be combined.
Details
- Title: Subtitle
- On-line H2, H∞, and pointwise uncertainty-bound quantification in identification of restricted-complexity models
- Creators
- ER-WEI BAI - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242SUNDAR RAMAN - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242
- Resource Type
- Journal article
- Publication Details
- IMA journal of mathematical control and information, Vol.13(3), pp.299-320
- Publisher
- Oxford University Press
- DOI
- 10.1093/imamci/13.3.299
- ISSN
- 0265-0754
- eISSN
- 1471-6887
- Language
- English
- Date published
- 09/1996
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083248002771
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