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And then solving a set of connected equations, one logical step after another.
The gains of asynchronous state estimator are given via solving a set of linear matrix inequalities.
The usefulness of the proposed approach has been demonstrated by solving a set of test problems.
The local impulse gain matrices can be designed by solving a set of LMIs.
The observer gains are determined by solving a set of Linear Matrix Inequality (LMI).
Filter gains are shown to be determined by solving a set of linear matrix inequalities (LMIs).
Moreover, the desired controller gains can be obtained by solving a set of LMI.
The CTF coefficients are then obtained by simply solving a set of linear equations.
The lowest possible gain of the designed observer is achieved by solving a set of LMIs.
Via solving a set of linear matrix inequalities, the desired filters can therefore be constructed.
And then the controller design approach is given by solving a set of LMIs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com