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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.
1990s, nonlinear control is still largely a tough challenge. In this course, we will present basic results for the analysis of nonlinear systems, emphasizing the di erences to linear systems, and we will introduce the most important nonlinear feedback control tools with the goal of giving an overview of the main possibilities available.
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.
Abstract - Sensors for the dynamic measurement of mechanical quantities or motion quantities are sometimes subject to a non-linear input-output characteristics.
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.
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°.
4 Νοε 2015 · However, when there is a significant non-linear response, the multi-point calibration used to reduce the non-linearity error requires one or more stable signal sources. This study describes two...
