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In order to obtain a less conservative control design, a new stochastic Lyapunov Krasovskii functional is first constructed by decomposing the delay interval into multiple equidistant subintervals.
By decomposing the delay interval into multiple equidistant subintervals and considering the triple integral terms, a novel Lyapunov-krasovskii functional LKF) is defined.
In order to develop a less conservative filter design, a new Lyapunov-Krasovskii functional (LKF) is constructed by decomposing the delay interval into multiple equidistant subintervals, and a new integral inequality is established in the stochastic setting.
By decomposing the delay interval into N subintervals uniformly, the filter to be designed is modeled as a Markov jumping filter with N modes governed by a Markov chain.
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A novel Lyapunov-Krasovskii functional decomposing the delay in all integral terms was constructed.
We use the Hilbert Huang transformation to remove noise from the data by decomposing the spectrum into sixteen components.
By decomposing the concentration index of the Ln odds CHE, the socioeconomic-related inequalities were decomposed into relative contributions of each determinant.
The inorganic fraction was determined by decomposing the composites at temperatures up to 900°C.
Inequality can be further explained by decomposing the concentration index into its determining components.
The wavelet method can avoid these defects by decomposing the series in scale and frequency simultaneously.
UM4 was reformulated by decomposing the reactions C120SN and KAS16 in its corresponding activities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com