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An H∞-output feedback design procedure using Linear Matrix Inequality (LMI) is applied.
Exemplarily, we illustrate the procedure using linear chains and hyperbranched polymers modeled through Vicsek fractals, and obtain in every case the monomer displacement averaged over the structure.
In order to systematically obtain the controller gains, an effective procedure using linear matrix inequality based stabilisation criteria, which can be solved by various computation tools, is provided.
A random imputation procedure using linear regression analysis on the available variables was used to complete missing data on height (3.4% missing) and weight (9.5% missing) [ 24].
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The controller design is accomplished by means of a convex optimization procedure formulated using linear matrix inequalities (LMIs).
An optimization procedure, using a linear programming approach and requiring the use of two models (an evaluation and an optimization model), was developed.
This is a key input into the ACM estimation procedure that enables us to price using linear regressions.
The authors of this study using linear regression procedure in order to identify the best fit combinations of the independent variables, developed the following model: {mathrm{V}}_{85 mathrm{Curve}}=19.357kern0.5em mathrm{W}-0.394kern0.5em W}-0.394kern0.5em Deltaathrm{T} (2).
The relationships between plasma GIP, DM intake, heat production, respiratory quotient (RQ), milk yield, and milk energy output were analyzed using linear correlation procedures, with metabolizable intake as a partial variant.
Therefore, a first element of model specification in WGR is whether genetic values are approximated by using linear regression procedures or using semiparametric methods.
This code provides rotations at these levels that can be used for acceptance criteria when evaluating reinforced concrete elements using linear or nonlinear procedures.
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