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Box Behnken design of experiments is used for data sampling in order to be able to produce a polynomial metamodel.
As an example, analysis of an A/D converter designed in switched-current technique is used for data sampling.
The strengths of this study include the before-after design, the large data sample available for analysis, the validated algorithm for cohort selection and variable definitions, and the robust outcome.
Fig. 2 Sampling design for data collection of both understory vegetation and soil seed bank composition under the inside and outside tree canopy at Babile Elephant Sanctuary, eastern Ethiopia.
The double cross-validation procedure was carried out for each combination of test data set size, cross-validation design and for each different data sample.
A new integral type sliding surface (ISM) is design for sampled-data systems for output tracking.
Our result facilitates controller design for sampled-data nonlinear systems via their approximate discrete-time models.
An example is presented to illustrate the result, and to show the advantages of this direct discrete-time design for sampled-data implementation.
We study observer design for sampled-data nonlinear systems using two approaches: (i) the observer is designed via an approximate discrete-time model of the plant; (ii) the observer is designed based on the continuous-time plant model and then discretized for sampled-data implementation (emulation).
It is designed for applications when data samples are received in an online manner in frames.
DBNs implementations are usually designed for data with hundreds or thousands of samples.
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