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The prototype is designed through systematic electromagnetic field calculations.
Then, it is designed through constructing its squared-absolute.
An environment aware controller: It is designed through H/BZR and DCS.
A state estimator to the neuron states is designed through available output measurements in our paper.
Finally, the tolerance of the components is designed through the calculation of distribution variance and mean.
The circuit board is designed through a web-based portal usable only with Squink plugged in.
The converter is designed through simulation using SPS and the results are discussed.
The induced ∞-norm FIR filter is designed through solving linear matrix inequalities (LMIs) iteratively.
The input matching network is designed through the technique of capacitive feedback matching network.
It is designed through analyzing the existence of finite steady state operating point.
The controller is designed through the use of a robust observer and backstepping technique.
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