Minimax linear filtering of dynamic discrete time processes

The paper is concerned with linear filtering of dynamic discrete time processes with incomplete data on the disturbing processes, viz. with specified constraints on the variance of these processes and unspecified correlation functions. A game problem statement is provided and conditions are found that must be satisfied by the disturbing process and linear filter which make the saddle point. An example of solving a minimax linear filtering problem is given.