R. Ergon, On primary output estimation by use of secondary measurements as input signals in system identification, IEEE AUTO C, 44(4), 1999, pp. 821-825
In many cases, vital output variables in, e.g,, industrial processes cannot
be measured online. It is then of interest to estimate these primary varia
bles from manipulated and measured inputs and the secondary output measurem
ents that are available, In order to identify an optimal estimator from inp
ut-output data, a suitable model structure must be chosen. The paper compar
es use of ARMAX and output error (OE) structures in prediction error identi
fication methods, theoretically and through simulations.