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By constructing the augmented Lyapunov-Krasovskii functionals, new delay-dependent conditions were established.
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Then, by constructing the brand-new body dynamics equation, augmented operator and augmented eigenvector, the orthogonality of augmented eigenvector of a linear hybrid MS is satisfied, and its state space model expressed in each independent model space is obtained easily.
By constructing a newly augmented Lyapunov Krasovskii functional, a less conservative criterion for the existence of the estimator of discrete-time neural networks without disturbances is introduced in Theorem 1 with the framework of linear matrix inequalities (LMIs).
By constructing a newly augmented Lyapunov-Krasovskii functional and using the convex polyhedron method, several sufficient criteria are derived to guarantee the stability of the proposed model for all admissible parameter uncertainties.
By constructing a newly augmented Lyapunov-Krasovskii functional and using the extended Wirtinger inequality, extended reciprocally convex method, several sufficient conditions are derived to guarantee the stability of the proposed model for all admissible parameter uncertainties.
By constructing a newly augmented Lyapunov-Krasovskii functional and using the extended Wirtinger inequality and a reciprocally convex method, several sufficient criteria are derived to guarantee the stability of the proposed model.
By constructing a newly augmented Lyapunov-Krasovskii functional, less conservative sufficient stability conditions of the concerned systems are introduced within the framework of linear matrix inequalities (LMIs).
By constructing a newly augmented Lyapunov-Krasovskii functional, [3] established less conservative stability criteria in the form of LMIs.
The feature set is constructed by augmenting the frequency-based feature set with a popular relation-type ontology, BioInfer.
Therefore, a generic model for environmental management was constructed by augmenting the individual FCMs drawn by 29 laypeople.
This design can easily be constructed by augmenting the fractional factorial design that was used for estimating the first-order model (Khuri 1996; Myers et al. 2005).
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