On batch process control using feature extraction with application to a gravimetric blender

In this paper, a data-driven control approach for
batch processes based on feature extraction is proposed. In this
strategy, a model of the system dynamics is not needed and the
issue of adapting to different operating conditions is recast into
a simple controller design problem. Throughout the paper, the
proposed algorithm will be described in detail with the help of
an experimental gravimetric blender example.