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In comparison with the joint standard, two-stage samplings and variable sampling size ¯¯¯X and R charts, the joint DS charts offer a better statistical efficiency for all ranges of the shifts.
Recent theoretical studies demonstrated the variable sampling rate (variable sample size and/or sampling interval) ¯¯¯X charts are quicker than standard Shewhart (SS) ¯¯¯X control charts in detecting process mean shifts.
In order to achieve the highest time resolution possible with the available equipment, measurements were performed with the spectrum analyser operating in the variable sampling rate mode, yielding an average sampling period of 150 ms with 40 ms standard deviation.
This paper focuses on the sampled-data synchronization problem of chaotic Lur'e systems (CLSs) by using sampled output of the systems with variable sampling rates.
In this paper, the problem of the sampled-data synchronization of two identical chaotic Lur'e systems is studied in which the controller is designed by using sampled output of the systems with variable sampling rates.
Moreover, in terms of sampling time to signal, control chart with the VSI (variable sampling intervals) feature can detect the process changes more quickly than the traditional FSI (fixed sample intervals) chart.
Control simulations using the variable sampling period and fixed sampling period are compared.
Furthermore, an optimal variable sampling interval EWMA average loss chart is also proposed.
Such side-effects include communication constraints, variable sampling, time-varying transmission delays, packet dropouts, and quantizations.
A cost model based on the variable sampling intervals is formulated and analyzed.
A less common approach is the variable sampling period (VSP), used in methods like VSP-PLL.
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