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This paper presents the control design approach and the procedure for computing its solution.
Now, we have all the data for performing the steps of the procedure for computing the C-Solution.
Figure 6 shows the procedure for computing FCI for one of the lines for the year 2010.
Details of the applied damage model are given together with a description of the finite element implementation and the procedure for computing the global damage parameters.
Then, through deriving the Taylor series expansion of the parameterized extremals, the neighboring optimal feedback not only on thrust direction but also on switching times is readily devised and the procedure for computing the gain matrix is presented.
Figure 3 depicts the procedure for computing the Fisher information from the neuronal tuning curves.
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Examples are presented to illustrate the procedures for computing the optimal designs.
The limited number of agents enables us to completely develop the steps of the iterative procedure for computing the C-Solution.
Open image in new window Fig. 5 Flowchart describing the steps involved in the simulation procedure for computing the equivalent sand grain roughness (k s).
We first give a brief review of the general procedure for computing the criticality of a Hopf bifurcation.
After reviewing the general procedure for computing the criticality of a Hopf bifurcation (Section 3.1), we show that the physiological model reduction technique considered in Section 2 can change the criticality of a Hopf bifurcation, so that the criticality of a Hopf bifurcation in a model may not match the criticality of the corresponding Hopf bifurcation in the reduced model (Section 3.2).
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