Statistical methods for mathematical description of distributed parameter systems

Statistical methods for mathematical description of distributed parameter systems on the basis of data of normal plants functioning are considered. The relationships are found which determine plant operators evaluations, optimal in the sense of criterion of the minimum of the mean square of the approximation error, and the formulae of this error. The function of multiple correlation for random processes and fields is introduced. Examples of application of the above mentioned operators in optimal control problems are given.