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The local impulse gain matrices can be designed by solving a set of LMIs.
The controllers can be designed by solving an algebraic Riccati equation and a Stein equation, respectively.
The desired fault detection filter can be designed by solving a set of LMIs.
The controller can be designed by solving a system of three coupled Riccati equations.
The desired positive l1-gain filter can be designed by solving a standard LP problem.
Secondly, the robust controllers satisfying the requirements can be designed by solving this optimization problem.
Similar(47)
The distributed MPC controller is designed by solving a linear matrix inequalities (LMIs) optimization problem.
The sampled-data controller is designed by solving linear matrix inequalities (LMIs).
Then, the reliable state estimators are designed by solving a set of linear matrix inequalities.
As a result, the MPC is designed by solving a Mixed-integer Quadratic Programming problem.
The H∞ congestion controller is designed by solving the mixed sensitivity problem for the linearized model.
More suggestions(15)
be calculated by solving
be located by solving
be found by solving
be achieved by solving
be constructed by solving
be verified by solving
be predicted by solving
be avoided by solving
be computed by solving
be determined by solving
be reconstructed by solving
be simulated by solving
be seen by solving
be estimated by solving
be solved by solving
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