On the over-sampling of data for system identification
โ Scribed by K. Worden
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 505 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0888-3270
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โฆ Synopsis
It is well-known that the accuracy of system identification parameter estimates deteriorate when the sampling frequency of the data is increased beyond a certain limit. A simple interpretation of this phenomenon in terms of data extrapolation is presented here. An upper-bound for the over-sampling frequency is estimated; however, this can only be considered as an existence result as it depends on the signal-to-noise ratio for the data, which is not known a priori.
๐ SIMILAR VOLUMES
7'his work is a generalization of Tsypkin's stability criterion for a class of time-varying nonlinear sampled-data feedback systems. Some sufficient conditions for the response to any bounded input sequence to be bounded are preserded. No assumptions are made concerning the internal dynamics of the