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By discretizing the linearized helicopter model, the linear quadratic with integral (LQI) capability is investigated and applied in order to develop an efficient tracking system including a state-feedback plus integral action.
In our system model, the linear interpolation method is adopted.
For pseudo-second order kinetic model, the linear plot between t/q t verses t shown in Fig. 13.
In this theory, we model the linear topology by separating it into different sub-regions, which represent the location coordinate.
Based on a simplified model, the linear liquid velocities inside the gas-rich and liquid-rich regions were estimated.
In this paper, SVM is employed to model the linear azimuth error estimated by KF using mechanized data as model input.
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Since the fit was not improved by the non-parametric model, only the linear model (Pearson's correlation) is reported.
In this analysis also the two models, the linear and quadratic, were significant.
The second term, β2, g, models the linear interactions between the inputs.
This study only models the linear effect of same day temperature on the health outcome.
In both models, the linear trend remains highly statistically significant (both p-values < 0.0001).
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