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The distributed MPC controller is designed by solving a linear matrix inequalities (LMIs) optimization problem.
The local impulse gain matrices can be designed by solving a set of LMIs.
The H∞ congestion controller is designed by solving the mixed sensitivity problem for the linearized model.
The controllers can be designed by solving an algebraic Riccati equation and a Stein equation, respectively.
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.
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Finally, the fuzzy servo controller is designed by simultaneously solving servo controller design condition and the constraint conditions on inputs and states.
Using Linear Matrix Inequalities LMII) technique combined with predictive approach, a FMMPC law is designed easily by solving a convex optimization problem subject to LMI conditions.
We approach surface design by solving a linear third order Partial Differential Equation (PDE).
We approach surface design by solving second-order and fourth-order Partial Differential Equations (PDEs).
According to [23], the computational complexity of the controller design by solving LMIs is defined by (T(F =O(F^{3})) [4], where F is the total number of scalar decision variables.
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