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Moreover, the observer gains are obtained in closed form.
Larger gains are obtained with more advanced refocusing pulses.
The required nonlinear observer gains are obtained by straightforward numerical quadratures.
For several physically relevant problems the observer gains are obtained in closed form.
Efficiency gains are obtained, however, at the cost of operational challenges.
The mode-dependent control gains are obtained by using an iterative linear matrix inequality (LMI) algorithm.
The controller gains are obtained by solving a set of linear matrix inequalities (LMIs).
Moreover, with the help of a novel simple matrix decoupling approach, the filter gains are obtained.
In addition, the distributed filter gains are obtained with the aid of the convex optimal method.
Thus, interesting gains are obtained in terms of CPU time, memory requirement and user effort compared to single mesh computations.
Based on this criterion, the switching consensus controller gains are obtained by solving a set of linear matrix inequalities.
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