A method for identification of autoregression equations by using a priori information

The paper is concerned with identification of a dynamic plant which is described by an autoregression equation. The available a priori information on the parameters is processed by an algorithm for estimating of unknown parameters of stochastic approximation. Strong consistence of the estimates is proved. Numerical results are given on comparison of the algorithm with the stochastic approximation algorithm.