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Furthermore, all stabilization conditions are expressed in the forms of linear matrix inequalities (LMIs), whose feasibility can be easily checked by using the LMI Toolbox.
The derived criteria are expressed in terms of linear matrix inequalities that can be easily checked by using the standard numerical software.
Based on the Lyapunov-Krasovskii functional approach, several sufficient conditions of exponential stabilization for this class of uncertain nonlinear systems with state delay are proposed, which have been expressed in terms of linear matrix inequalities (LMIs) whose feasibility can be easily checked by using the numerically efficient Matlab LMI Toolbox.
Data normality was checked by using the Kolmogorov-Smirnov test.
Analytical results were checked by using the finite element analysis.
The validity of the resulting correlations is checked by using the solubility data of another pharmaceutical solid, naproxen.
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A dealer can also check by using the vehicle identification number.
In mode-2, the performances of the models were checked by using new kernel parameters to achieve the best accuracy during the self-consistency tests.
Six different cases were designed to test this system and the validity of the solutions was checked by using a non-linear model of the vehicles.
Purity and homogeneity of purified proteins was checked by using SDS-PAGE, and the gel was subsequently stained with silver nitrate.
For all models, conditions of application and models fit were checked by using Hosmer and Lemeshow for the logistic model and by analysing Schoenfeld residuals for the Cox model.
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