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28 Φεβ 2014 · Using the finite element method (FEM) and particle swarm optimization (PSO), a nonlinearity analysis based on parameter optimization is proposed to design an inductive angle sensor.
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A Multirate Control Strategy to the Slow Sensors Problem: An...
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A Multirate Control Strategy to the Slow Sensors Problem: An...
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22 Δεκ 2018 · The easiest way (given that there is no equation given) is to extract the data from the published data sheet using software such as Webplotdigitizer then fit a curve to the data. That will get you a matrix of data. If you have MATLAB there is a curve fit tool that let you try different equations.
Abstract - Sensors for the dynamic measurement of mechanical quantities or motion quantities are sometimes subject to a non-linear input-output characteristics. In the case of calibration this may result in deviations of classical calibration results using different methods or different ranges.
Nonlinearity is an important long-time issue for most of the sensors, so to compensate nonlinearity, various linearization schemes are reported in the literature. The accuracy of linearization schemes depends on the type and the nonlinearity value of the sen-sor output.
23 Αυγ 2019 · Nonlinearity is an important long-time issue for most of the sensors, so to compensate nonlinearity, various linearization schemes are reported in the literature. The accuracy of linearization...
23 Αυγ 2019 · Nonlinearity is an important long-time issue for most of the sensors, so to compensate nonlinearity, various linearization schemes are reported in the literature. The accuracy of linearization schemes depends on the type and the nonlinearity value of the sensor output.
Prism automatically graphs the best-fit curves from nonlinear regression. Prism offers easy-to-understand data table formats to enter the values from your experiment. Prism can even handle data with missing values by leaving the cells blank. Prism makes it straightforward to fit a nonlinear model.
