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Automation and Remote Control

, Volume 77, Issue 2, pp 242–260 | Cite as

Root-mean-square filtering of the state of polynomial stochastic systems with multiplicative noise

  • M. V. Basin
Topical Issue

Abstract

Some results obtained by the present author in the field of designing the finitedimensional root-mean-square filters for stochastic systems with polynomial equations of state and multiplicative noise from the linear observations were overviewed. A procedure to derive the finite-dimensional system of approximate filtering equations for a polynomial arbitrary-order equation of state was presented. The closed system of filtering equations for the root-mean-square estimate and covariance matrix error was deduced explicitly for special cases of linear and quadratic coefficients of drift and diffusion in the equation of state. For linear stochastic systems with unknown parameters, the problem of joint root-mean-square state filtering and identification of the parameters from linear observations was considered in the Appendix.

Keywords

Remote Control State Vector Stochastic System Polynomial System Multiplicative Noise 
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.

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Copyright information

© Pleiades Publishing, Ltd. 2016

Authors and Affiliations

  1. 1.Autonomous University of Nuevo LeonNuevo LeonMexico
  2. 2.St. Petersburg State University of Information Technologies, Mechanics, and Optics (ITMO)St. PetersburgRussia

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