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An advantage of the linear matrix inequality solution is in its computational efficiency using standard software.
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The needed filtering parameters are obtained by making use of the matrix inequalities' solution.
The needed estimator gains are designed making use of the matrix inequalities' solution.
The main results include derivation of a sufficient condition for the existence of a robust FD observer and its construction based on the linear matrix inequality (LMI) solution parameters.
This paper presents a new approach with non-common linear matrix inequality (LMI) solutions to the multiobjective state-feedback control design problem.
A constructive Linear Matrix Inequality (LMI -based soLMI -based evaluation of both the desolutionameters and the ultimate bound is derived.
In particular, the probabilistic primal problem is defined so that a Linear Matrix Inequality has a solution with probability one and the probabilistic dual problem is formulated as a solvability problem for a certain matrix integral inequality on the class of positive semidefinite symmetric matrix-valued functions.
By using linear matrix inequality method, the numerical solution of mixed H2/H∞ state-feedback controller can be efficiently solved.
The design is formulated as a Linear Matrix Inequality (LMI) problem, the solution of which returns a fixed structure delay-dependent robust LFC.
The conditions are in form of a Linear Matrix Inequality (LMI) problem whose solution provides the switching law and a family of state feedback gains stabilizing the system as well as a bound on the exponential decreasing rate.
It also establishes a mathematical model of the consistency coordination control between the VPP and STATCOM agents, and solve this model by the bilinear matrix inequality (BMI) constraints feasible solution.
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