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An MIMO auto-tuning method is develop that can be used by a layman of control.
A simulation technique based on the Monte Carlo method is develop for the description of the material transportation during physical vapor deposition of multicomponent material.
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Such a method is developed and presented.
In [2], a numerically involved moment method is developed.
Moreover, the method is developed for the Cartesian sampling pattern.
A new FDI method is developed using adaptive estimation techniques.
Then the semi-supervised metric learning method is developed.
Firstly, the OC method is developed for multiple frequency constraints.
However, no method is developed specifically for sequencing data.
Then, a fixed-depth control method is developed.
The mathematical formulation of proposed learning method is developed.
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