State and parameter estimation using measurements with unknown time delay

Kyuman Lee, Eric N. Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Standard Kalman filtering does not handle time-delayed measurements, and if the delay is significant, large estimation errors may accumulate over time. Furthermore, the delay value is typically unknown and variable in many real applications. To fuse measurements with unknown time delays, this study incorporates a parameter estimation technique into state estimation. In the combined parameter-state estimator, we directly estimate the delay value as an additional state and simultaneously obtain refined state estimates in the modified Kalman filter that compensates for delayed measurements. Since estimated delay value has some constraints, the estimator requires both interpolation and the truncation of the probability density function. Monte Carlo simulation results of this study show that this approach is more reliable than existing approaches for state estimation using measurements with unknown time delays.

Original languageEnglish (US)
Title of host publication1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1402-1407
Number of pages6
ISBN (Electronic)9781509021826
DOIs
StatePublished - Oct 6 2017
Event1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States
Duration: Aug 27 2017Aug 30 2017

Publication series

Name1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Volume2017-January

Other

Other1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
CountryUnited States
CityKohala Coast
Period8/27/178/30/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Hardware and Architecture
  • Software
  • Control and Systems Engineering

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