Conference proceeding
On the choice of noise models and their bounds in set-membership identification
PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, pp.2412-2417
1996
DOI: 10.1109/CDC.1996.573450
Abstract
Different noise models and the corresponding membership sets are studied in this paper. In particular, under some conditions on the noise sequences, we show that: (1) If the noise bound is unknown and tight, then the size of the membership sets converges to zero asymptotically and (2) If the noise bound is unknown but tight, then the estimated noise bound calculated from the observed input-output data converges to the true but unknown noise bound asymptotically.
Details
- Title: Subtitle
- On the choice of noise models and their bounds in set-membership identification
- Creators
- Er-Wei BaiHyonyong ChoR Tempo
- Resource Type
- Conference proceeding
- Publication Details
- PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, pp.2412-2417
- DOI
- 10.1109/CDC.1996.573450
- Language
- English
- Date published
- 1996
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984231931102771
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