Advertisement

Computational Mathematics and Modeling

, Volume 8, Issue 1, pp 73–78 | Cite as

Adaptive control of a stochastic linear plant under uncertainty

  • I. V. Semushin
Article
  • 13 Downloads

Abstract

Principles of the theory of active identification are developed for a stationary optimal discrete filter in an adaptive model connected to a closed-loop control system with a stochastic linear plant. The analysis is conducted for three successively increasing degrees of prior uncertainty.

Keywords

Mathematical Modeling Control System Computational Mathematic Industrial Mathematic Adaptive Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    V. N. Fomin, Recursive Estimation and Adaptive Filtering [in Russian], Nauka, Moscow (1984).Google Scholar
  2. 2.
    L. Ljung, “Convergence analysis of parametric identification methods,” IEEE Trans. Autom. Contr.,AC-23, No. 5, 770–783 (1978).CrossRefMATHMathSciNetGoogle Scholar
  3. 3.
    I. V. Semushin, “Identification of linear stochastic plants from incomplete noisy observations of the state vector,” Avtomat. Telemekh., No. 8, 61–71 (1985).Google Scholar
  4. 4.
    Ya. Z. Tsypkin, Foundations of Information Theory of Identification [in Russian], Nauka, Moscow (1984).Google Scholar

Copyright information

© Plenum Publishing Corporation 1997

Authors and Affiliations

  • I. V. Semushin

There are no affiliations available

Personalised recommendations