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The state-space average model is established for the battery/SC HESS.
Because the global process of actual combustion is different from the TGA, a modified weighted average model is proposed based on the two−stage reaction kinetic scheme.
Hence, a bounded non linear control, designed using the average model, is applied to the time varying system to drive the position and orientation to desired values.
There, cluster adaptive training [55] is employed such that an average model is built and then this general model is adapted using a set of transforms.
An electrochemistry model (average model) is coupled to the thermal model, with the addition of a one-dimensional model for the solution and solid diffusion using the nodal network method.
Q order moving average model is denoted as MA (q), satisfying the following equation: y_{t} = theta_{0} + theta_{1} y_{t - 1} + theta_{2} y_{t - 2} + cdots + theta_{q} y_{t - q} + varepsilon_{t} (7).
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A weighted average model was then used to digitally map soil texture.
By considering the unmodeled dynamics of the SC and the unknown disturbances, the equivalent circuit and the state-space average model are established for the boost converter based battery/SC HESS.
Finally, the projected average model was used for the selection of the local-scale area, by applying direct downscaling (e.g. Araújo et al. 2005; Fernandes et al. 2014).
An autoregressive integrated moving average model was used to test if changes in the National average monthly prices are related to the estimated number of farms in restriction zones.
The autoregressive integrated moving average model was used to examine the relation between climate variability, tides, and the monthly incidence of notified RRV infections.
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