Comparatively speaking, although the feedback controller law is established in the form of bilinear matrix inequality (BMI), it can be easily solved by alternatively fixing some parameters and optimizing the rest.
On the other hand, our results using fixed threshold parameters indicate that at least some of these ambiguous aspects can be resolved by reducing parameter correlations through fixing some parameters in the optimization.
In that case, the model should be reduced by fixing some of the parameters to their nominal values or by properly grouping some sets.
In contrast to related work in systems biology, we do not suggest simplifying a model by fixing some of its parameters, but change the structure of the model.
We observe that some new special results follow by fixing the parameters involved in the given problem.
By fixing the parameters in the boundary conditions of (1.1), we obtain some new results.
Thus, the minimum constraints (datum) should be applied, for instance, by fixing ionospheric parameters.
One way of viewing Table 5 is by fixing two parameters and plotting the result with the two others varying.
Our results are new and yield several new ones by fixing the parameters r and h appropriately.
