Suboptimal tracking of a reference in linear random systems

The paper is concerned with optimal tracking of a reference by a dynamic plant subjected to random disturbances. A suboptimal solution of this problem is suggested which uses the results of complete observation of the plant and the reference. Computational advantages of the proposed solution over an approach which requires filtering and control optimal for the deterministic problem statement are shown.