<p>I think an ideal schism would be "control-theory" garnering its own tag, all other questions remaining as "control". The Kalman-filter is essentially a statistical, data analysis tool, hence on-topic for the site, although very few questions deal with this method. The Kalman-filter uses control in the sense of controls on a dashboard, external inputs which can be manipulated in a dynamic system.</p>

<p>While multivariate adjustment in observational studies and random allocation of control in experimental studies seem to have little relation, they are related. Both seek to reduce forms of variability and bias in analyses. It's unfortunate that "control variables" is still preferred terminology in a lot of experimental science. However, the implication is partially correct: you get efficient and unbiased inference by in some sense accounting for these variables, whether by stratification, adjustment, block-randomizing, weighting, or matching. If I had to give a Wiki about control, it would be something along the lines of,</p>

<blockquote>
  <p>Methods in experimental design and statistical analysis for reducing variability and eliminating bias. </p>
</blockquote>
