Exact(60)
In principle, any control problem can be solved in two steps: (1) building an optimal filter (a so-called Kalman filter) to determine the best estimate of the present state vector; (2) determining an optimal control law and mechanizing it by substituting into it the estimate of the state vector obtained in step 1.
Step 2 Determining response capacity of DSRs.
(2) Determining the filtering window size.
(2) Determining the most appropriate interpolation scheme.
Fig. 2 Determining IS probabilities for a HIM bin.
2) Determining the acceptable risk levels for power system operation or planning.
Step 2: Determining effect of lean attributes on competitive advantages, in HOQ.
Case 2: determining if two collaborators are from the same community or not.
Figure 2 Determining the location and orientation of a buried target.
Step 2: Determining fuzzy weights of competitive advantages through pair comparison and using Fuzzy-AHP.
Step 2: Determining the fuzzy weights of competitive advantages through pair comparison by Fuzzy-AHP.
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