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Guay (1996) introduced a nonlinearity measure based on the evaluation of the in- duced local curvature of the process response assuming a process can be represented by a twice-differentiable process map.
Abstract— Error analysis of a resistive sensor-to-microcon-troller interface based on pulse-width modulation and time–ratio measurement shows that internal input and output resistances in microcontroller digital ports produce zero, gain and nonlinearity errors.
trical circuits, mechanical systems, control systems, and other engineering disciplines, they need to be able to use a wide range of nonlinear analysis tools. Despite the fact that these tools have developed rapidly since the mid 1990s, nonlinear control is still largely a tough challenge.
28 Φεβ 2014 · The finite element method and particle swarm optimization are combined for the sensor design to get the minimal nonlinearity error. In the simulation, the nonlinearity error of the optimized sensor is 0.053% in the angle range from −60° to 60°.
Did you know that the resolution, non-linearity and accuracy are amongst the most important features of a measuring sensor system? These vary significantly depending on the application requirement and the measuring principle. We will explain the terms now.
16 Σεπ 2023 · In this study, we propose a compensation method designed for direct application to demodulated data, effectively addressing the 1st and 2nd-order nonlinearities in both homodyne and heterodyne systems.
1 Οκτ 2018 · This study has addressed the nonlinearity problem prevalent in analog voltage measurement of a single sensor based DIC by proposing an optimized error compensation technique. The proposed technique has been compared with the ideal ADC and promising results were achieved.
