An analogue of the Kalman filter for perturbations with incompletely determined characteristics

For a “Fisher model” of a linear dynamic process where the only data on the disturbances are sets of possible values, or subspaces $IR^k$, $k$ being the process dimension; under less restrictive conditions than in Ref. [1] the optimal filter is determined and its properties are studied.