Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/930449
- Title
- Exact identification of continuous-time systems from sampled data
- Author/Creator
-
Marelli, Damián;
Fu, Minyue
- Description
- Both direct and indirect methods exist for continuous-time system identification. A direct method estimates continuous-time input and output signals from their samples and then use them to obtain a continuous-time model, whereas an indirect method estimates a discrete-time model first. Both methods rely on fast sampling to ensure good accuracy. In this paper, we propose a more direct method where a continuous-time model is directly fitted to the available samples. This method produces an exact model asymptotically, modulo some aliasing ambiguity, even when the sampling rate is relatively low.
- Relation
- IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007). Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007) (Honolulu, HI 15 - 20 April, 2007) p. III-757-III-760
- Publisher Link
- http://dx.doi.org/10.1109/ICASSP.2007.366790
- Date
- 2007
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
system identification;
continuous-time system identification;
parameter estimation
- Resource Type
- conference paper
- Rights
- Copyright © 2007 IEEE. Reprinted from the Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or 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 must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Identifier
- http://hdl.handle.net/1959.13/930449
- Identifier
- ISBN:1424407273
- Language
- eng
- Reviewed
- Full Text
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