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By applying this modeling method, one can employ well-understood linear model predictive control techniques to robustly control nonlinear systems.
Using the SBF method, one can only obtain a low crystallinity HAp.
For example, modifying the N4SID method, one can derive a closed loop subspace identification method.
Using such chip design and test method, one can easily optimize the efficiency and cell viability.
By the present method, one can solve exactly the governing equation with variable coefficients.
In online eigenvector approximation method, one can minimize the kernel approximation error to guarantee a good eigenvector approximation.
Using this method, one can go beyond the theoretical limitation of these devices in any specified technology which comes from quantum uncertainty principle.
The experimental results prove that with this method one can obtain an important parameter that characterizes polymer crystallization via the temperature-dependence of the crystal-growth rate.
The prototype IC measurements show that with the use of the proposed method, one can decrease the recording channels' noise two times with the existing dedicated power and area budget.
A kernel solution of the beam system is proposed in the paper, using the proposed method one can obtain the solution to the bending problem of beam systems only by getting the solution to the boundary equations of beam systems.
Using the electrodeposition method, one can control the chemical composition and morphology of the calcium phosphate by varying the electric deposition potential and electrolyte temperature to tune the mixture of dicalcium phosphate dihydrate and hydroxyapatite (HAp).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com