Time-varying parameter estimation in continuous-time under colored perturbations using "equivalent control concept" and LSM with forgetting factor

J. Escobar, A. Poznyak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper deals with time problem of time-varying parameters estimation of stochastic systems under colored noise perturbations. A two step method is proposed. First, it is designed a tracking process, based in the "equivalent control" technique, providing the finite-time equivalence of the original stochastic process with unknown parameters to an auxiliary one. This equivalence does not cancel the noise effects, but allows to estimate the model in a "regression form" for a sufficient short time. In the second step, the Least Squares Method with a scalar forgetting factor is applied to estimate the time-varying parameters of the given model. Two examples illustrate the effectiveness of the proposed approach, the first shows an application in a system of location and motion, and the second an estimation of a growth rate of a population dynamic.

Original languageEnglish
Title of host publicationProceedings of the 2010 11th International Workshop on Variable Structure Systems, VSS 2010
Pages209-214
Number of pages6
DOIs
StatePublished - 2010
Event2010 11th International Workshop on Variable Structure Systems, VSS 2010 - Mexico City, Mexico
Duration: 26 Jun 201028 Jun 2010

Publication series

NameProceedings of the 2010 11th International Workshop on Variable Structure Systems, VSS 2010

Conference

Conference2010 11th International Workshop on Variable Structure Systems, VSS 2010
Country/TerritoryMexico
CityMexico City
Period26/06/1028/06/10

Keywords

  • Colored noise
  • Equivalent control
  • Forgetting factor
  • Least squares method
  • Parameter estimation

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