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

Authors:
M. V. Zhirov;V. V. Makarov
Affiliations:
Moscow State Technological Academy, Moscow, Russia;Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Venue:
Automation and Remote Control
Year:
2002

Citing 3
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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.