  Consider a time series with missing observations but a known final point.
Using control theory ideas we estimate/predict these missing observations. We
obtain recurrence equations which minimize sum of squares of a control
sequence. An advantage of this method is in easily computable formulae and
flexibility of its application to different structures of missing data.
