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The adopted framework is based on the Lyapunov theory and uses the Linear Matrix Inequalities (LMI) formalism.
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The subsequent stated controller matrices are found by using the Linear Matrix Inequality approach.
The estimation of the state-matching error is presented using the linear matrix inequality (LMI) techniques.
The corresponding parameters of the controller are obtained by using the linear matrix inequalities (LMIs) optimization.
The controllers are derived by using the linear matrix inequality approach.
Then, a robust controller is designed using the linear matrix inequalities (LMI) approach.
The controller's parameters are obtained using the linear matrix inequalities (LMI) optimization.
The selection of design parameters is achieved using the linear matrix inequality (LMI) optimization technique.
Using the linear matrix inequality approach, the existence conditions of such controllers are derived.
Tools of the linear automatic to the nonlinear systems are applied, using the Linear Matrix Inequalities optimization.
A sufficient condition for the existence of such a filter is established by using the linear matrix inequality (LMI) approach.
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