In this paper, we present two new methods for identifying NMR spin systems. These methods are based on nonlinear adaptive filtering. The spin system is assumed to be time-invariant with memory. The first method uses a truncated discrete Volterra series to describe the nonlinear relationship between
Adaptive control with nonlinear filtering
✍ Scribed by A. Halme; J. Selkäinaho; J. Soininen
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 911 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0005-1098
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✦ Synopsis
Nonlinear filters, provided they are algorithmically robust and reasonably simple, can be applied in multivariable adaptive control with good results especially in cases like mechanical manipulators, where the state of the system is directly measurable.
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