1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings
DOI: 10.1109/icsmc.1990.142207
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Regression modelling technique for state model estimation and Kalman filter application

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“…The resulting regression model is differentiated n times. The resulting differential equation is converted into a stat, model and used to implement a linear Kalman filter for that measurement [17,18,19,20,21]. A flowchart illustrating the regression modelling process is shown in Figure 1.…”
Section: Preconditioning Measurement Datamentioning
confidence: 99%
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“…The resulting regression model is differentiated n times. The resulting differential equation is converted into a stat, model and used to implement a linear Kalman filter for that measurement [17,18,19,20,21]. A flowchart illustrating the regression modelling process is shown in Figure 1.…”
Section: Preconditioning Measurement Datamentioning
confidence: 99%
“…However, a linear transformation can be performed to convert this state into the units of the measurement. This transformation is also extracted from the regression model [17,18,19].…”
Section: Preconditioning Measurement Datamentioning
confidence: 99%