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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.
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.
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.
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.
23 Αυγ 2019 · As many sensors are used for different applications, the linearized characteristics will simplify the design, calibration, and accuracy of the measurement. This paper presents a review of different methods applied to linearize sensor characteristics reported in the literature.
1 Οκτ 2018 · In this paper, a set of error compensating techniques (ECT) were investigated and the best model was implemented for single sensor measurement which reduced the nonlinearity to 0.02%. Under the improved ECT framework, the algorithm was extended for multi-sensor measurement in an E-Nose setup.
