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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/930449
- Exact identification of continuous-time systems from sampled data
- 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.
- 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
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- Institute of Electrical and Electronics Engineers (IEEE)
continuous-time system identification;
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- conference paper
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