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The tasks of central control is concerned with the sampling of state variables, provision of logic and control information for energy station control, management of the operation mode, maximization of operational efficiency across multiple MIES and minimization of emissions and losses.
More often, the designers are concerned with the sampling efficiency of the network.
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This paper is concerned with the issue of sampled-data stabilization for T-S fuzzy systems with time-varying delays, where the mismatched membership function (MMF) approach is proposed.
A third demerit is concerned with the fairly small sample size of the present study (N = 45), which may have resulted in limited statistical power.
Spatial sampling design is concerned with the optimal allocation of samples to spatial coordinates in order to improve in a well-defined sense the estimation and prediction of spatial random fields.
Given that this analysis is concerned with the change in VF-14, the sample used for this analysis includes only patients who received surgery for both their first and second eye within our data collection time frame ('both eyes', n = 55).
This paper is concerned with the problem of finite-time sampled-data control for switching T S fuzzy systems.
Here we are concerned with the treatment of the output form the Markov chain sampler.
Others were concerned with the bigger picture.
The data levels are mainly concerned with various sampling techniques [1].
The first is concerned with replacing the equidistant sampling points by more general ones, which is very important from the practical point of view.
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