Adaptive Identification of Nonstationary Technological Processes with Markov Parameters in Stochastic Control Problems

Abstract

An adaptive approach to the identification of nonstationary technological processes with Markov parameters is put forward, which relies on the use of the local identification in the problems of stochastic control. A two-loop system of adaptive control with a group of experts (decision-makers) in the outer loop is considered, which accounts for specific features of the applied field of investigations.