Approximate optimization of compensational control algorithms for multi-stage industrial processes

The paper is concerned with a compensational control system for a multi-stage industrial process which is described by a linear model with a Gaussian noise. A system efficiency criterion is formulated and its dependence on the number of grouping intervals is derived. Procedure are given of approximate system parameter optimization with minimization of the scatter interval length as the criterion.