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A new delay-dependent synchronization criterion is derived based on the integral inequality method and free weighting matrices.
Based on the Lyapunov Krasovskii functional method and free weighting matrix technique, a delay-dependent criteria for the global exponential stability and stabilization of memristive neural networks are derived in form of linear matrix inequalities (LMIs).
The main contributions of this work are two fold: on one hand, we demonstrate the accuracy of this Kernel-conformation formulation using a finite differences method and free surfaces; on the other hand, we assess the numerical efficiency of specific kernel functions at high-Weissenberg number flows.
Meanwhile, freestanding III-nitride structures are formed by growth method and free of the etching damage.
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Using the Lyapunov functional method and free-weighting matrices, delay-dependent sufficient conditions for the solvability of these problems are established in terms of linear matrix inequality (LMI).
Using Lyapunov-Krasovskii functional method, and free-weight matrix method, a criterion for stability of systems is given.
Secondly, by introducing two new zero equalities, based on reciprocally convex method and free-weighting matrices techniques, less conservative criteria were derived in terms of LMIs.
By using Lyapunov-Krasovskii functional theory, delay decomposition technique, reciprocally convex method and free-weighting matrix approach, new reachable set bounds are obtained.
By utilizing the Lyapunov-Krasovskii functional, delay decomposition technique, reciprocally convex method and free-weighting matrix approach, some new results in the form of linear matrix inequalities are derived.
The parallel-plate capacitance method has high test accuracy but it has a low frequency range (HP); the transmission reflection method, coaxial probe method, and free-space method can be used to measure broadband but they tend to measure media with low loss inaccurately (Venkatesh and Raghavan 2005; Krupka 2006).
These methods include molecular dynamics and homology modeling, which focus on the atomic structure of biomaterials, electronic structure methods, and free-energy simulations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com