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Via solving a set of linear matrix inequalities, the desired filters can therefore be constructed.
Via solving the Eq. (46), we can get the optimal value of leased time for SU at each fading state.
via solving a series of smooth equations (1.4).
In this case, we can obtain (A_{cj}, B_{cj}), and (C_{cj}) via solving (30).
The equilibrium points of system (2.10) are calculated via solving the following equation (2.11).
En 1 and En 2 are determined numerically via solving respectively Equations (8) and (10).
The gains of asynchronous state estimator are given via solving a set of linear matrix inequalities.
By leveraging this property, we obtain an optimal solution via solving a convex optimization problem.
The parameter matrices of the FDF are analytically derived via solving simple matrix equations recursively.
The explicit expression of the desired controller is formulated via solving the presented set of HJIs.
This approach adds dissipation to the calculation via solving a Riemann-like problem.
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