Computational Processes in Iterative Stochastic Control Design

  • Authors:
  • I. V. Semoushin;O. Yu. Gorokhov

  • Affiliations:
  • -;-

  • Venue:
  • ICCS '02 Proceedings of the International Conference on Computational Science-Part I
  • Year:
  • 2002

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Abstract

In this article we analyse computational processes andinvestigate characteristics of iterative stochastic algorithms for control and identification based on the auxiliary performance index (API) approach. A workable API is the one which (1) depends on available values only, (2) has the same domain as the original performance index (OPI) has, and(3) achieves its minimum at the same point in the domain as the OPI does. In the article we show that the proposed method for replacing the OPI by an API is applicable for identification the discrete-time steady-state Kalman filter included into the closed-loop stochastic control systems.