Dynamic error correction method

Dynamic measuring methods: a review

“…. , −1 are configurable feedback vector parameters of [31]. The development of this method for the observed state coordinate vector is outlined in [31], [34].…”

“…, −1 are configurable feedback vector parameters of [31]. The development of this method for the observed state coordinate vector is outlined in [31], [34]. If the spectral density of the measuring signal , and the observed coordinates are known, then the structural diagram of this measuring system is shown in Figure 16.…”

On teaching measurement applications of digital signal processing

“…• in [11], the forward-model-based calibration is applied for compensation of the dynamic imperfections of a Fabry-Perot fibre-optic sensor of temperature, under an assumption that the sensor can be adequately modelled by means of a linear ordinary differential equation with constant coefficients; an iterative method is used for estimation of those coefficients; • in [12], the inverse-model-based calibration is applied for compensating the inertia of a sensor, under an assumption that the sensor can be adequately modelled by means of a linear ordinary differential equations with constant coefficients; an inverse linear filter, compensating the zeros and poles of the corresponding transfer function, is designed on the basis of the sensor responses to appropriately selected polynomial and sinusoidal test signals; • in [13], an iterative method of deconvolution, based on the use of a conjugate-gradient algorithm of constrained optimization combined with a linear Wiener-type filter, is used for reconstruction of time-varying concentrations of polluting agents, emitted by a boiler during its cracking, on the basis of data provided by a hydrocarbon sensor.…”

Neural network approach to reduce dynamic measurement errors

“…However, the analysis of measuring systems can be made in terms of the control theory [4], as well as of the theory of automatic control systems sensitivity [5], [6]. The automatic control theory approach effectively improves the dynamic measurement accuracy [7]- [9]. Along with it, the artificial neural network (ANN) approach to designing the dynamic models of measuring systems and algorithms for the data processing of dynamic measurements is a way of intelligent measuring systems development.…”